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@@ -0,0 +1 @@ +/pytorchcv-0.0.67.tar.gz diff --git a/python-pytorchcv.spec b/python-pytorchcv.spec new file mode 100644 index 0000000..80300e7 --- /dev/null +++ b/python-pytorchcv.spec @@ -0,0 +1,2636 @@ +%global _empty_manifest_terminate_build 0 +Name: python-pytorchcv +Version: 0.0.67 +Release: 1 +Summary: Image classification and segmentation models for PyTorch +License: MIT +URL: https://github.com/osmr/imgclsmob +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/44/b3/2f7b3ea53aff801fe7a9d37117f074b4325831934bb760f52697e1d18542/pytorchcv-0.0.67.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-requests + +%description +# Computer vision models on PyTorch + +[](https://pypi.python.org/pypi/pytorchcv) +[](https://pepy.tech/project/pytorchcv) + +This is a collection of image classification, segmentation, detection, and pose estimation models. Many of them are pretrained on +[ImageNet-1K](http://www.image-net.org), [CIFAR-10/100](https://www.cs.toronto.edu/~kriz/cifar.html), +[SVHN](http://ufldl.stanford.edu/housenumbers), [CUB-200-2011](http://www.vision.caltech.edu/visipedia/CUB-200-2011.html), +[Pascal VOC2012](http://host.robots.ox.ac.uk/pascal/VOC/voc2012), [ADE20K](http://groups.csail.mit.edu/vision/datasets/ADE20K), +[Cityscapes](https://www.cityscapes-dataset.com), and [COCO](http://cocodataset.org) datasets and loaded automatically +during use. All pretrained models require the same ordinary normalization. Scripts for training/evaluating/converting +models are in the [`imgclsmob`](https://github.com/osmr/imgclsmob) repo. + +## List of implemented models + +- AlexNet (['One weird trick for parallelizing convolutional neural networks'](https://arxiv.org/abs/1404.5997)) +- ZFNet (['Visualizing and Understanding Convolutional Networks'](https://arxiv.org/abs/1311.2901)) +- VGG/BN-VGG (['Very Deep Convolutional Networks for Large-Scale Image Recognition'](https://arxiv.org/abs/1409.1556)) +- BN-Inception (['Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift'](https://arxiv.org/abs/1502.03167)) +- ResNet (['Deep Residual Learning for Image Recognition'](https://arxiv.org/abs/1512.03385)) +- PreResNet (['Identity Mappings in Deep Residual Networks'](https://arxiv.org/abs/1603.05027)) +- ResNeXt (['Aggregated Residual Transformations for Deep Neural Networks'](http://arxiv.org/abs/1611.05431)) +- SENet/SE-ResNet/SE-PreResNet/SE-ResNeXt (['Squeeze-and-Excitation Networks'](https://arxiv.org/abs/1709.01507)) +- ResNeSt(A) (['ResNeSt: Split-Attention Networks'](https://arxiv.org/abs/2004.08955)) +- IBN-ResNet/IBN-ResNeXt/IBN-DenseNet (['Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net'](https://arxiv.org/abs/1807.09441)) +- AirNet/AirNeXt (['Attention Inspiring Receptive-Fields Network for Learning Invariant Representations'](https://ieeexplore.ieee.org/document/8510896)) +- BAM-ResNet (['BAM: Bottleneck Attention Module'](https://arxiv.org/abs/1807.06514)) +- CBAM-ResNet (['CBAM: Convolutional Block Attention Module'](https://arxiv.org/abs/1807.06521)) +- ResAttNet (['Residual Attention Network for Image Classification'](https://arxiv.org/abs/1704.06904)) +- SKNet (['Selective Kernel Networks'](https://arxiv.org/abs/1903.06586)) +- SCNet (['Improving Convolutional Networks with Self-Calibrated Convolutions'](http://mftp.mmcheng.net/Papers/20cvprSCNet.pdf)) +- RegNet (['Designing Network Design Spaces'](https://arxiv.org/abs/2003.13678)) +- DIA-ResNet (['DIANet: Dense-and-Implicit Attention Network'](https://arxiv.org/abs/1905.10671)) +- PyramidNet (['Deep Pyramidal Residual Networks'](https://arxiv.org/abs/1610.02915)) +- DiracNetV2 (['DiracNets: Training Very Deep Neural Networks Without Skip-Connections'](https://arxiv.org/abs/1706.00388)) +- ShaResNet (['ShaResNet: reducing residual network parameter number by sharing weights'](https://arxiv.org/abs/1702.08782)) +- DenseNet (['Densely Connected Convolutional Networks'](https://arxiv.org/abs/1608.06993)) +- CondenseNet (['CondenseNet: An Efficient DenseNet using Learned Group Convolutions'](https://arxiv.org/abs/1711.09224)) +- SparseNet (['Sparsely Aggregated Convolutional Networks'](https://arxiv.org/abs/1801.05895)) +- PeleeNet (['Pelee: A Real-Time Object Detection System on Mobile Devices'](https://arxiv.org/abs/1804.06882)) +- Oct-ResNet (['Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution'](https://arxiv.org/abs/1904.05049)) +- WRN (['Wide Residual Networks'](https://arxiv.org/abs/1605.07146)) +- WRN-1bit (['Training wide residual networks for deployment using a single bit for each weight'](https://arxiv.org/abs/1802.08530)) +- DRN-C/DRN-D (['Dilated Residual Networks'](https://arxiv.org/abs/1705.09914)) +- DPN (['Dual Path Networks'](https://arxiv.org/abs/1707.01629)) +- DarkNet Ref/Tiny/19 (['Darknet: Open source neural networks in c'](https://github.com/pjreddie/darknet)) +- DarkNet-53 (['YOLOv3: An Incremental Improvement'](https://arxiv.org/abs/1804.02767)) +- ChannelNet (['ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions'](https://arxiv.org/abs/1809.01330)) +- iSQRT-COV-ResNet (['Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization'](https://arxiv.org/abs/1712.01034)) +- RevNet (['The Reversible Residual Network: Backpropagation Without Storing Activations'](https://arxiv.org/abs/1707.04585)) +- i-RevNet (['i-RevNet: Deep Invertible Networks'](https://arxiv.org/abs/1802.07088)) +- BagNet (['Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet'](https://openreview.net/pdf?id=SkfMWhAqYQ)) +- DLA (['Deep Layer Aggregation'](https://arxiv.org/abs/1707.06484)) +- MSDNet (['Multi-Scale Dense Networks for Resource Efficient Image Classification'](https://arxiv.org/abs/1703.09844)) +- FishNet (['FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction'](http://papers.nips.cc/paper/7356-fishnet-a-versatile-backbone-for-image-region-and-pixel-level-prediction.pdf)) +- ESPNetv2 (['ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network'](https://arxiv.org/abs/1811.11431)) +- DiCENet (['DiCENet: Dimension-wise Convolutions for Efficient Networks'](https://arxiv.org/abs/1906.03516)) +- HRNet (['Deep High-Resolution Representation Learning for Visual Recognition'](https://arxiv.org/abs/1908.07919)) +- VoVNet (['An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection'](https://arxiv.org/abs/1904.09730)) +- SelecSLS (['XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera'](https://arxiv.org/abs/1907.00837)) +- HarDNet (['HarDNet: A Low Memory Traffic Network'](https://arxiv.org/abs/1909.00948)) +- X-DenseNet (['Deep Expander Networks: Efficient Deep Networks from Graph Theory'](https://arxiv.org/abs/1711.08757)) +- SqueezeNet/SqueezeResNet (['SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size'](https://arxiv.org/abs/1602.07360)) +- SqueezeNext (['SqueezeNext: Hardware-Aware Neural Network Design'](https://arxiv.org/abs/1803.10615)) +- ShuffleNet (['ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices'](https://arxiv.org/abs/1707.01083)) +- ShuffleNetV2 (['ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design'](https://arxiv.org/abs/1807.11164)) +- MENet (['Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications'](https://arxiv.org/abs/1803.09127)) +- MobileNet (['MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications'](https://arxiv.org/abs/1704.04861)) +- FD-MobileNet (['FD-MobileNet: Improved MobileNet with A Fast Downsampling Strategy'](https://arxiv.org/abs/1802.03750)) +- MobileNetV2 (['MobileNetV2: Inverted Residuals and Linear Bottlenecks'](https://arxiv.org/abs/1801.04381)) +- MobileNetV3 (['Searching for MobileNetV3'](https://arxiv.org/abs/1905.02244)) +- IGCV3 (['IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks'](https://arxiv.org/abs/1806.00178)) +- GhostNet (['GhostNet: More Features from Cheap Operations'](https://arxiv.org/abs/1911.11907)) +- MnasNet (['MnasNet: Platform-Aware Neural Architecture Search for Mobile'](https://arxiv.org/abs/1807.11626)) +- DARTS (['DARTS: Differentiable Architecture Search'](https://arxiv.org/abs/1806.09055)) +- ProxylessNAS (['ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware'](https://arxiv.org/abs/1812.00332)) +- FBNet (['FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search'](https://arxiv.org/abs/1812.03443)) +- Xception (['Xception: Deep Learning with Depthwise Separable Convolutions'](https://arxiv.org/abs/1610.02357)) +- InceptionV3 (['Rethinking the Inception Architecture for Computer Vision'](https://arxiv.org/abs/1512.00567)) +- InceptionV4/InceptionResNetV1/InceptionResNetV2 (['Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning'](https://arxiv.org/abs/1602.07261)) +- PolyNet (['PolyNet: A Pursuit of Structural Diversity in Very Deep Networks'](https://arxiv.org/abs/1611.05725)) +- NASNet (['Learning Transferable Architectures for Scalable Image Recognition'](https://arxiv.org/abs/1707.07012)) +- PNASNet (['Progressive Neural Architecture Search'](https://arxiv.org/abs/1712.00559)) +- SPNASNet (['Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours'](https://arxiv.org/abs/1904.02877)) +- EfficientNet (['EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks'](https://arxiv.org/abs/1905.11946)) +- MixNet (['MixConv: Mixed Depthwise Convolutional Kernels'](https://arxiv.org/abs/1907.09595)) +- NIN (['Network In Network'](https://arxiv.org/abs/1312.4400)) +- RoR-3 (['Residual Networks of Residual Networks: Multilevel Residual Networks'](https://arxiv.org/abs/1608.02908)) +- RiR (['Resnet in Resnet: Generalizing Residual Architectures'](https://arxiv.org/abs/1603.08029)) +- ResDrop-ResNet (['Deep Networks with Stochastic Depth'](https://arxiv.org/abs/1603.09382)) +- Shake-Shake-ResNet (['Shake-Shake regularization'](https://arxiv.org/abs/1705.07485)) +- ShakeDrop-ResNet (['ShakeDrop Regularization for Deep Residual Learning'](https://arxiv.org/abs/1802.02375)) +- FractalNet (['FractalNet: Ultra-Deep Neural Networks without Residuals'](https://arxiv.org/abs/1605.07648)) +- NTS-Net (['Learning to Navigate for Fine-grained Classification'](https://arxiv.org/abs/1809.00287)) +- PSPNet (['Pyramid Scene Parsing Network'](https://arxiv.org/abs/1612.01105)) +- DeepLabv3 (['Rethinking Atrous Convolution for Semantic Image Segmentation'](https://arxiv.org/abs/1706.05587)) +- FCN-8s (['Fully Convolutional Networks for Semantic Segmentation'](https://arxiv.org/abs/1411.4038)) +- ICNet (['ICNet for Real-Time Semantic Segmentation on High-Resolution Images'](https://arxiv.org/abs/1704.08545)) +- Fast-SCNN (['Fast-SCNN: Fast Semantic Segmentation Network'](https://arxiv.org/abs/1902.04502)) +- CGNet (['CGNet: A Light-weight Context Guided Network for Semantic Segmentation'](https://arxiv.org/abs/1811.08201)) +- DABNet (['DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation'](https://arxiv.org/abs/1907.11357)) +- SINet (['SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder'](https://arxiv.org/abs/1911.09099)) +- BiSeNet (['BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation'](https://arxiv.org/abs/1808.00897)) +- DANet (['Dual Attention Network for Scene Segmentation'](https://arxiv.org/abs/1809.02983)) +- FPENet (['Feature Pyramid Encoding Network for Real-time Semantic Segmentation'](https://arxiv.org/abs/1909.08599)) +- ContextNet (['ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time'](https://arxiv.org/abs/1805.04554)) +- LEDNet (['LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation'](https://arxiv.org/abs/1905.02423)) +- ESNet (['ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation'](https://arxiv.org/abs/1906.09826)) +- EDANet (['Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation'](https://arxiv.org/abs/1809.06323)) +- ENet (['ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation'](https://arxiv.org/abs/1606.02147)) +- ERFNet (['ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation'](http://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17tits.pdf)) +- LinkNet (['LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation'](https://arxiv.org/abs/1707.03718)) +- SegNet (['SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation'](https://arxiv.org/abs/1511.00561)) +- U-Net (['U-Net: Convolutional Networks for Biomedical Image Segmentation'](https://arxiv.org/abs/1505.04597)) +- SQNet (['Speeding up Semantic Segmentation for Autonomous Driving'](https://openreview.net/pdf?id=S1uHiFyyg)) +- CenterNet (['Objects as Points'](https://arxiv.org/abs/1904.07850)) +- LFFD (['LFFD: A Light and Fast Face Detector for Edge Devices'](https://arxiv.org/abs/1904.10633)) +- AlphaPose (['RMPE: Regional Multi-person Pose Estimation'](https://arxiv.org/abs/1612.00137)) +- SimplePose (['Simple Baselines for Human Pose Estimation and Tracking'](https://arxiv.org/abs/1804.06208)) +- Lightweight OpenPose (['Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose'](https://arxiv.org/abs/1811.12004)) +- IBPPose (['Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation'](https://arxiv.org/abs/1911.10529)) +- PFPCNet (['Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks'](https://arxiv.org/abs/1609.06536)) +- VOCA (['Capture, Learning, and Synthesis of 3D Speaking Styles'](https://arxiv.org/abs/1905.03079)) +- Neural Voice Puppetry Audio-to-Expression net (['Neural Voice Puppetry: Audio-driven Facial Reenactment'](https://arxiv.org/abs/1912.05566)) +- Jasper/JasperDR (['Jasper: An End-to-End Convolutional Neural Acoustic Model'](https://arxiv.org/abs/1904.03288)) +- QuartzNet (['QuartzNet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions'](https://arxiv.org/abs/1910.10261)) + +## Installation + +To use the models in your project, simply install the `pytorchcv` package with `torch` (>=0.4.1 is recommended): +``` +pip install pytorchcv torch>=0.4.0 +``` +To enable/disable different hardware supports such as GPUs, check out PyTorch installation [instructions](https://pytorch.org). + +## Usage + +Example of using a pretrained ResNet-18 model: +``` +from pytorchcv.model_provider import get_model as ptcv_get_model +import torch +from torch.autograd import Variable + +net = ptcv_get_model("resnet18", pretrained=True) +x = Variable(torch.randn(1, 3, 224, 224)) +y = net(x) +``` + +## Pretrained models + +### ImageNet-1K + +Some remarks: +- Top1/Top5 are the standard 1-crop Top-1/Top-5 errors (in percents) on the validation subset of the ImageNet-1K dataset. +- FLOPs/2 is the number of FLOPs divided by two to be similar to the number of MACs. +- Remark `Converted from GL model` means that the model was trained on `MXNet/Gluon` and then converted to PyTorch. +- You may notice that quality estimations are quite different from ones for the corresponding models in other frameworks. This +is due to the fact that the quality is estimated on the standard TorchVision stack of image transformations. Using +OpenCV `Resize` transformation instead of PIL one quality evaluation results will be similar to ones for the Gluon models. +- ResNet(A) is an average downsampled ResNet intended for use as an feature extractor in some pose estimation networks. +- ResNet(D) is a dilated ResNet intended for use as an feature extractor in some segmentation networks. +- Models with *-suffix use non-standard preprocessing (see the training log). + +| Model | Top1 | Top5 | Params | FLOPs/2 | Remarks | +| --- | ---: | ---: | ---: | ---: | --- | +| AlexNet | 38.50 | 16.64 | 62,378,344 | 1,132.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/alexnet-1664-2768cdb3.pth.log)) | +| AlexNet-b | 39.74 | 17.47 | 61,100,840 | 714.83M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.485/alexnetb-1747-ac887bf7.pth.log)) | +| ZFNet | 39.79 | 17.27 | 62,357,608 | 1,170.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.395/zfnet-1727-d010ddca.pth.log)) | +| ZFNet-b | 36.37 | 14.90 | 107,627,624 | 2,479.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.400/zfnetb-1490-f6bec24e.pth.log)) | +| VGG-11 | 29.90 | 10.36 | 132,863,336 | 7,615.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.381/vgg11-1036-71e85f6e.pth.log)) | +| VGG-13 | 28.76 | 9.75 | 133,047,848 | 11,317.65M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.388/vgg13-0975-2b2c8770.pth.log)) | +| VGG-16 | 26.98 | 8.65 | 138,357,544 | 15,480.10M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.401/vgg16-0865-5ca155da.pth.log)) | +| VGG-19 | 25.74 | 7.90 | 143,667,240 | 19,642.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.420/vgg19-0790-9bd923a8.pth.log)) | +| BN-VGG-11 | 29.01 | 9.61 | 132,866,088 | 7,630.21M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.339/bn_vgg11-0961-10f01fba.pth.log)) | +| BN-VGG-13 | 27.83 | 9.13 | 133,050,792 | 11,341.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.353/bn_vgg13-0913-b1acd715.pth.log)) | +| BN-VGG-16 | 25.72 | 7.79 | 138,361,768 | 15,506.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.359/bn_vgg16-0779-0f570b92.pth.log)) | +| BN-VGG-19 | 24.13 | 7.12 | 143,672,744 | 19,671.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.360/bn_vgg19-0712-3f286cbd.pth.log)) | +| BN-VGG-11b | 29.56 | 9.96 | 132,868,840 | 7,630.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.407/bn_vgg11b-0996-ef747edc.pth.log)) | +| BN-VGG-13b | 28.47 | 9.24 | 133,053,736 | 11,342.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.488/bn_vgg13b-0924-5f313c53.pth.log)) | +| BN-VGG-16b | 25.97 | 7.95 | 138,365,992 | 15,507.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/bn_vgg16b-0795-bfff365a.pth.log)) | +| BN-VGG-19b | 25.13 | 7.46 | 143,678,248 | 19,672.26M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.490/bn_vgg19b-0746-f523b4e4.pth.log)) | +| BN-Inception | 25.37 | 7.74 | 11,295,240 | 2,048.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.405/bninception-0774-d79ba5f5.pth.log)) | +| ResNet-10 | 32.76 | 12.93 | 5,418,792 | 894.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/resnet10-1293-cedc302c.pth.log)) | +| ResNet-12 | 32.10 | 12.23 | 5,492,776 | 1,126.25M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.485/resnet12-1223-84a43cf6.pth.log)) | +| ResNet-14 | 30.51 | 11.09 | 5,788,200 | 1,357.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.491/resnet14-1109-b3132cbf.pth.log)) | +| ResNet-BC-14b | 29.43 | 10.74 | 10,064,936 | 1,479.12M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/resnetbc14b-1074-14b1fd95.pth.log)) | +| ResNet-16 | 28.74 | 10.09 | 6,968,872 | 1,589.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/resnet16-1009-4352d6a9.pth.log)) | +| ResNet-18 x0.25 | 39.62 | 17.85 | 3,937,400 | 270.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.262/resnet18_wd4-1785-fe79b31f.pth.log)) | +| ResNet-18 x0.5 | 33.80 | 13.27 | 5,804,296 | 608.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.263/resnet18_wd2-1327-6654f50a.pth.log)) | +| ResNet-18 x0.75 | 30.40 | 11.06 | 8,476,056 | 1,129.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.266/resnet18_w3d4-1106-3636648b.pth.log)) | +| ResNet-18 | 26.94 | 8.96 | 11,689,512 | 1,820.41M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.478/resnet18-0896-77a56f15.pth.log)) | +| ResNet-26 | 26.16 | 8.49 | 17,960,232 | 2,746.79M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/resnet26-0849-4bfbc640.pth.log)) | +| ResNet-BC-26b | 25.09 | 7.97 | 15,995,176 | 2,356.67M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.313/resnetbc26b-0797-7af52a73.pth.log)) | +| ResNet-34 | 24.84 | 7.80 | 21,797,672 | 3,672.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.291/resnet34-0780-3f775482.pth.log)) | +| ResNet-BC-38b | 23.69 | 7.00 | 21,925,416 | 3,234.21M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.328/resnetbc38b-0700-3fbac61d.pth.log)) | +| ResNet-50 | 22.28 | 6.33 | 25,557,032 | 3,877.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.329/resnet50-0633-b00d1c8e.pth.log)) | +| ResNet-50b | 22.39 | 6.38 | 25,557,032 | 4,110.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.308/resnet50b-0638-8a5473ef.pth.log)) | +| ResNet-101 | 20.79 | 5.40 | 44,549,160 | 7,597.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/resnet101-0540-65faf447.pth.log)) | +| ResNet-101b | 20.59 | 5.30 | 44,549,160 | 7,830.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.357/resnet101b-0530-f059ba3c.pth.log)) | +| ResNet-152 | 19.29 | 4.68 | 60,192,808 | 11,321.85M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.518/resnet152-0468-d46977dd.pth.log)) | +| ResNet-152b | 19.01 | 4.45 | 60,192,808 | 11,554.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.517/resnet152b-0445-2f420307.pth.log)) | +| PreResNet-10 | 35.11 | 14.21 | 5,417,128 | 894.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.249/preresnet10-1421-b3973cd4.pth.log)) | +| PreResNet-12 | 33.86 | 13.48 | 5,491,112 | 1,126.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.257/preresnet12-1348-563066fa.pth.log)) | +| PreResNet-14 | 32.64 | 12.39 | 5,786,536 | 1,358.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.260/preresnet14-1239-4be725fd.pth.log)) | +| PreResNet-BC-14b | 31.29 | 11.81 | 10,057,384 | 1,476.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.315/preresnetbc14b-1181-a68d31c3.pth.log)) | +| PreResNet-16 | 30.53 | 11.08 | 6,967,208 | 1,589.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.261/preresnet16-1108-06d8c87e.pth.log)) | +| PreResNet-18 x0.25 | 40.06 | 18.11 | 3,935,960 | 270.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.272/preresnet18_wd4-1811-41135c15.pth.log)) | +| PreResNet-18 x0.5 | 34.00 | 13.40 | 5,802,440 | 608.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.273/preresnet18_wd2-1340-c1fe4e31.pth.log)) | +| PreResNet-18 x0.75 | 30.23 | 11.05 | 8,473,784 | 1,129.51M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.274/preresnet18_w3d4-1105-ed2f9ca4.pth.log)) | +| PreResNet-18 | 28.43 | 9.72 | 11,687,848 | 1,820.56M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.140/preresnet18-0972-5651bc2d.pth.log)) | +| PreResNet-26 | 26.33 | 8.51 | 17,958,568 | 2,746.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.316/preresnet26-0851-99e7d6cc.pth.log)) | +| PreResNet-BC-26b | 25.48 | 8.03 | 15,987,624 | 2,354.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.325/preresnetbc26b-0803-d7283bdd.pth.log)) | +| PreResNet-34 | 24.89 | 7.74 | 21,796,008 | 3,672.83M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.300/preresnet34-0774-fd5bd1e8.pth.log)) | +| PreResNet-BC-38b | 22.92 | 6.57 | 21,917,864 | 3,231.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.348/preresnetbc38b-0657-9e523bb9.pth.log)) | +| PreResNet-50 | 22.40 | 6.47 | 25,549,480 | 3,875.44M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.330/preresnet50-0647-222ca73b.pth.log)) | +| PreResNet-50b | 22.51 | 6.55 | 25,549,480 | 4,107.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.307/preresnet50b-0655-8b60378e.pth.log)) | +| PreResNet-101 | 20.81 | 5.63 | 44,541,608 | 7,595.44M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.504/preresnet101-0563-8ec82f7d.pth.log)) | +| PreResNet-101b | 21.04 | 5.56 | 44,541,608 | 7,827.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.351/preresnet101b-0556-76bfe6d0.pth.log)) | +| PreResNet-152 | 19.36 | 4.64 | 60,185,256 | 11,319.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.510/preresnet152-0464-baeb6c52.pth.log)) | +| PreResNet-152b | 19.23 | 4.59 | 60,185,256 | 11,551.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.523/preresnet152b-0459-42c9fbcf.pth.log)) | +| PreResNet-200b | 19.07 | 4.68 | 64,666,280 | 15,068.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.529/preresnet200b-0468-f82215f3.pth.log)) | +| PreResNet-269b | 20.35 | 5.27 | 102,065,832 | 20,101.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.545/preresnet269b-0527-f38eca01.pth.log)) | +| ResNeXt-14 (16x4d) | 31.94 | 12.48 | 7,127,336 | 1,045.77M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.370/resnext14_16x4d-1248-35ffac2a.pth.log)) | +| ResNeXt-14 (32x2d) | 32.58 | 12.81 | 7,029,416 | 1,031.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.371/resnext14_32x2d-1281-14521186.pth.log)) | +| ResNeXt-14 (32x4d) | 30.32 | 11.46 | 9,411,880 | 1,603.46M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.327/resnext14_32x4d-1146-89aa6793.pth.log)) | +| ResNeXt-26 (32x2d) | 26.63 | 8.87 | 9,924,136 | 1,461.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.373/resnext26_32x2d-0887-c3bd1307.pth.log)) | +| ResNeXt-26 (32x4d) | 24.14 | 7.46 | 15,389,480 | 2,488.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.332/resnext26_32x4d-0746-1011ac35.pth.log)) | +| ResNeXt-50 (32x4d) | 21.08 | 5.60 | 25,028,904 | 4,255.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.498/resnext50_32x4d-0560-d7976503.pth.log)) | +| ResNeXt-101 (32x4d) | 18.78 | 4.34 | 44,177,704 | 8,003.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/resnext101_32x4d-0434-5ac16598.pth.log)) | +| ResNeXt-101 (64x4d) | 19.08 | 4.52 | 83,455,272 | 15,500.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.544/resnext101_64x4d-0452-60d1913e.pth.log)) | +| SE-ResNet-10 | 31.76 | 12.02 | 5,463,332 | 894.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/seresnet10-1202-8dace12e.pth.log)) | +| SE-ResNet-12 | 31.93 | 12.00 | 5,537,896 | 1,126.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.544/seresnet12-1200-81d5406e.pth.log)) | +| SE-ResNet-14 | 30.73 | 11.28 | 5,835,504 | 1,358.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.545/seresnet14-1128-2afa45c6.pth.log)) | +| SE-ResNet-16 | 28.72 | 9.98 | 7,024,640 | 1,589.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.545/seresnet16-0998-e2c666dd.pth.log)) | +| SE-ResNet-18 | 28.18 | 9.61 | 11,778,592 | 1,820.88M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.355/seresnet18-0961-022123a5.pth.log)) | +| SE-ResNet-26 | 25.67 | 8.24 | 18,093,852 | 2,747.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.363/seresnet26-0824-64fc8759.pth.log)) | +| SE-ResNet-BC-26b | 23.59 | 7.03 | 17,395,976 | 2,359.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.366/seresnetbc26b-0703-b98d9d6a.pth.log)) | +| SE-ResNet-BC-38b | 21.60 | 5.95 | 24,026,616 | 3,238.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.374/seresnetbc38b-0595-03671c05.pth.log)) | +| SE-ResNet-50 | 21.22 | 5.75 | 28,088,024 | 3,883.25M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.441/seresnet50-0575-004bfde4.pth.log)) | +| SE-ResNet-50b | 20.79 | 5.39 | 28,088,024 | 4,115.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.387/seresnet50b-0539-459e6871.pth.log)) | +| SE-ResNet-101 | 19.24 | 4.60 | 49,326,872 | 7,602.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.533/seresnet101-0460-37851448.pth.log)) | +| SE-ResNet-101b | 19.70 | 4.87 | 49,326,872 | 7,839.75M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.460/seresnet101b-0487-b83a20fd.pth.log)) | +| SE-ResNet-152 | 18.72 | 4.39 | 66,821,848 | 11,328.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.538/seresnet152-0439-7a6b02ac.pth.log)) | +| SE-PreResNet-10 | 32.83 | 12.57 | 5,461,668 | 894.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.544/sepreresnet10-1257-a08d5c61.pth.log)) | +| SE-PreResNet-12 | 32.07 | 12.03 | 5,536,232 | 1,126.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/sepreresnet12-1203-4f8d63e2.pth.log)) | +| SE-PreResNet-16 | 28.77 | 9.75 | 7,022,976 | 1,589.91M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/sepreresnet16-0975-251c11a4.pth.log)) | +| SE-PreResNet-18 | 27.43 | 9.09 | 11,776,928 | 1,821.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/sepreresnet18-0909-cd3cc116.pth.log)) | +| SE-PreResNet-26 | 26.20 | 8.22 | 18,092,188 | 2,747.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/sepreresnet26-0822-2c73c690.pth.log)) | +| SE-PreResNet-BC-26b | 23.22 | 6.60 | 17,388,424 | 2,357.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.399/sepreresnetbc26b-0660-f750b2f5.pth.log)) | +| SE-PreResNet-BC-38b | 21.60 | 5.78 | 24,019,064 | 3,236.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.409/sepreresnetbc38b-0578-12827fcd.pth.log)) | +| SE-PreResNet-50b | 20.85 | 5.49 | 28,080,472 | 4,113.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.461/sepreresnet50b-0549-4628a07d.pth.log)) | +| SE-ResNeXt-50 (32x4d) | 18.94 | 4.51 | 27,559,896 | 4,261.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/seresnext50_32x4d-0451-52029a7f.pth.log)) | +| SE-ResNeXt-101 (32x4d) | 19.36 | 4.67 | 48,955,416 | 8,012.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.529/seresnext101_32x4d-0467-c738e758.pth.log)) | +| SE-ResNeXt-101 (64x4d) | 18.66 | 4.28 | 88,232,984 | 15,509.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.561/seresnext101_64x4d-0428-ea9d98df.pth.log)) | +| SENet-16 | 25.65 | 8.20 | 31,366,168 | 5,081.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.341/senet16-0820-373aeafd.pth.log)) | +| SENet-28 | 21.94 | 5.98 | 36,453,768 | 5,732.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.356/senet28-0598-27165b63.pth.log)) | +| SENet-154 | 18.85 | 4.55 | 115,088,984 | 20,745.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.522/senet154-0455-95dbccbe.pth.log)) | +| ResNeSt(A)-BC-14 | 22.46 | 6.47 | 10,611,688 | 2,767.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/resnestabc14-0647-0c3d9e34.pth.log)) | +| ResNeSt(A)-18 | 23.68 | 7.07 | 12,763,784 | 2,587.50M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/resnesta18-0707-efca5a69.pth.log)) | +| ResNeSt(A)-BC-26 | 19.56 | 4.76 | 17,069,448 | 3,646.57M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/resnestabc26-0476-7d97b206.pth.log)) | +| ResNeSt(A)-50 | 19.00 | 4.49 | 27,483,240 | 5,403.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.531/resnesta50-0449-8ebaf2c7.pth.log)) | +| ResNeSt(A)-101 | 17.83 | 4.03 | 48,275,016 | 10,247.88M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta101-0403-61e14773.pth.log)) | +| ResNeSt(A)-152 | 18.87 | 4.63 | 65,316,040 | 13,976.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.540/resnesta152-0463-42e22fed.pth.log)) | +| ResNeSt(A)-200 | 16.87 | 3.39 | 70,201,544 | 22,857.88M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta200-0339-6dc30087.pth.log)) | +| ResNeSt(A)-269 | 16.47 | 3.38 | 110,929,480 | 46,012.95M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta269-0338-6a555ce8.pth.log)) | +| IBN-ResNet-50 | 21.61 | 5.76 | 25,557,032 | 4,110.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/ibn_resnet50-0576-40c420fc.pth.log)) | +| IBN-ResNet-101 | 19.97 | 5.07 | 44,549,160 | 7,830.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.552/ibn_resnet101-0507-6f488f24.pth.log)) | +| IBN(b)-ResNet-50 | 21.79 | 5.97 | 25,558,568 | 4,112.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.552/ibnb_resnet50-0597-383b4432.pth.log)) | +| IBN-ResNeXt-101 (32x4d) | 20.10 | 5.12 | 44,177,704 | 8,003.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.553/ibn_resnext101_32x4d-0512-73534cc4.pth.log)) | +| IBN-DenseNet-121 | 23.58 | 6.73 | 7,978,856 | 2,872.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/ibn_densenet121-0673-0ea2c535.pth.log)) | +| IBN-DenseNet-169 | 22.42 | 6.19 | 14,149,480 | 3,403.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.500/ibn_densenet169-0619-ec2c0556.pth.log)) | +| AirNet50-1x64d (r=2) | 20.63 | 5.32 | 27,425,864 | 4,772.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.522/airnet50_1x64d_r2-0532-398445f4.pth.log)) | +| AirNet50-1x64d (r=16) | 21.24 | 5.60 | 25,714,952 | 4,399.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.519/airnet50_1x64d_r16-0560-d46d344b.pth.log)) | +| AirNeXt50-32x4d (r=2) | 20.14 | 5.15 | 27,604,296 | 5,339.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.521/airnext50_32x4d_r2-0515-85f13273.pth.log)) | +| BAM-ResNet-50 | 20.91 | 5.47 | 25,915,099 | 4,196.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/bam_resnet50-0547-a04adf3c.pth.log)) | +| CBAM-ResNet-50 | 20.17 | 5.05 | 28,089,624 | 4,116.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.537/cbam_resnet50-0505-d8cf8488.pth.log)) | +| SCNet-50 | 21.22 | 5.47 | 25,564,584 | 3,951.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/scnet50-0547-18741240.pth.log)) | +| SCNet-101 | 19.91 | 4.84 | 44,565,416 | 7,204.24M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.507/scnet101-0484-13801569.pth.log)) | +| SCNet(A)-50 | 19.53 | 4.68 | 25,583,816 | 4,715.84M | From [MCG-NKU/SCNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.472/scneta50-0468-eb3c25d6.pth.log)) | +| RegNetX-200MF | 30.20 | 10.66 | 2,684,792 | 203.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.475/regnetx002-1066-e389d6ce.pth.log)) | +| RegNetX-400MF | 26.44 | 8.66 | 5,157,512 | 403.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.479/regnetx004-0866-9584cc0b.pth.log)) | +| RegNetX-600MF | 24.96 | 7.91 | 6,196,040 | 608.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.482/regnetx006-0791-30ca597a.pth.log)) | +| RegNetX-800MF | 24.21 | 7.40 | 7,259,656 | 809.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.482/regnetx008-0740-157abf5e.pth.log)) | +| RegNetX-1.6GF | 22.44 | 6.37 | 9,190,136 | 1,618.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/regnetx016-0637-6de8a97b.pth.log)) | +| RegNetX-3.2GF | 21.48 | 5.92 | 15,296,552 | 3,199.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.492/regnetx032-0592-75dc82ab.pth.log)) | +| RegNetX-4.0GF | 19.69 | 4.88 | 22,118,248 | 3,986.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/regnetx040-0488-b891108c.pth.log)) | +| RegNetX-6.4GF | 19.50 | 4.68 | 26,209,256 | 6,491.01M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.535/regnetx064-0468-bea758f9.pth.log)) | +| RegNetX-8.0GF | 19.75 | 4.86 | 39,572,648 | 8,017.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.515/regnetx080-0486-1d94db03.pth.log)) | +| RegNetX-12GF | 20.02 | 5.32 | 46,106,056 | 12,124.22M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.542/regnetx120-0532-a93ee3a7.pth.log)) | +| RegNetX-16GF | 19.29 | 4.77 | 54,278,536 | 15,986.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.532/regnetx160-0477-bd9f3534.pth.log)) | +| RegNetX-32GF | 18.00 | 4.13 | 107,811,560 | 31,790.24M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.548/regnetx320-0413-34bc3cd2.pth.log)) | +| RegNetY-200MF | 28.66 | 9.80 | 3,162,996 | 203.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.476/regnety002-0980-57f04168.pth.log)) | +| RegNetY-400MF | 25.02 | 7.69 | 4,344,144 | 410.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/regnety004-0769-8c36573f.pth.log)) | +| RegNetY-600MF | 23.79 | 7.12 | 6,055,160 | 610.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/regnety006-0712-d6401a37.pth.log)) | +| RegNetY-800MF | 22.67 | 6.60 | 6,263,168 | 808.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/regnety008-0660-ed298c23.pth.log)) | +| RegNetY-1.6GF | 21.41 | 5.81 | 11,202,430 | 1,629.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/regnety016-0581-b45eccd6.pth.log)) | +| RegNetY-3.2GF | 18.04 | 4.04 | 19,436,338 | 3,199.15M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnety032-0404-cb331486.pth.log)) | +| RegNetY-4.0GF | 19.56 | 4.70 | 20,646,656 | 3,999.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.494/regnety040-0470-052d7681.pth.log)) | +| RegNetY-6.4GF | 19.03 | 4.56 | 30,583,252 | 6,388.91M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.513/regnety064-0456-bff39135.pth.log)) | +| RegNetY-8.0GF | 18.91 | 4.48 | 39,180,068 | 7,996.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.516/regnety080-0448-c084bf6a.pth.log)) | +| RegNetY-12GF | 18.67 | 4.42 | 51,822,544 | 12,132.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.526/regnety120-0442-bf259560.pth.log)) | +| RegNetY-16GF | 18.82 | 4.44 | 83,590,140 | 15,944.53M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.527/regnety160-0444-e7e05d91.pth.log)) | +| RegNetY-32GF | 17.92 | 3.83 | 145,046,770 | 32,317.66M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.550/regnety320-0383-a8b16205.pth.log)) | +| PyramidNet-101 (a=360) | 20.53 | 5.43 | 42,455,070 | 8,743.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.507/pyramidnet101_a360-0543-7f1747f8.pth.log)) | +| DiracNetV2-18 | 31.47 | 11.70 | 11,511,784 | 1,796.62M | From [szagoruyko/diracnets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.111/diracnet18v2-1170-e0673770.pth.log)) | +| DiracNetV2-34 | 28.75 | 9.93 | 21,616,232 | 3,646.93M | From [szagoruyko/diracnets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.111/diracnet34v2-0993-a6a661c0.pth.log)) | +| DenseNet-121 | 23.48 | 7.04 | 7,978,856 | 2,872.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.314/densenet121-0704-cf90d139.pth.log)) | +| DenseNet-161 | 21.91 | 6.06 | 28,681,000 | 7,793.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.432/densenet161-0606-da489277.pth.log)) | +| DenseNet-169 | 22.42 | 6.29 | 14,149,480 | 3,403.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.406/densenet169-0629-44974a17.pth.log)) | +| DenseNet-201 | 21.78 | 6.12 | 20,013,928 | 4,347.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.426/densenet201-0612-6adc8625.pth.log)) | +| CondenseNet-74 (C=G=4) | 26.25 | 8.28 | 4,773,944 | 546.06M | From [ShichenLiu/CondenseNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.4/condensenet74_c4_g4-0828-5ba55049.pth.log)) | +| CondenseNet-74 (C=G=8) | 28.93 | 10.06 | 2,935,416 | 291.52M | From [ShichenLiu/CondenseNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.4/condensenet74_c8_g8-1006-3574d874.pth.log)) | +| PeleeNet | 29.41 | 10.04 | 2,802,248 | 514.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.496/peleenet-1004-5107a95d.pth.log)) | +| WRN-50-2 | 22.25 | 6.26 | 68,849,128 | 11,405.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.520/wrn50_2-0626-1e67b96c.pth.log)) | +| DRN-C-26 | 24.61 | 7.23 | 21,126,584 | 16,993.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.508/drnc26-0723-e7306483.pth.log)) | +| DRN-C-42 | 22.37 | 6.28 | 31,234,744 | 25,093.75M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.556/drnc42-0628-8817241f.pth.log)) | +| DRN-C-58 | 20.65 | 5.27 | 40,542,008 | 32,489.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.559/drnc58-0527-3f74be98.pth.log)) | +| DRN-D-22 | 24.86 | 7.58 | 16,393,752 | 13,051.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.498/drnd22-0758-02cb44bd.pth.log)) | +| DRN-D-38 | 22.94 | 6.43 | 26,501,912 | 21,151.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.552/drnd38-0643-496f648b.pth.log)) | +| DRN-D-54 | 20.40 | 5.17 | 35,809,176 | 28,547.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.554/drnd54-0517-caa3c85d.pth.log)) | +| DRN-D-105 | 20.62 | 5.48 | 54,801,304 | 43,442.43M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnd105-0548-a643f4dc.pth.log)) | +| DPN-68 | 23.24 | 6.79 | 12,611,602 | 2,351.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.310/dpn68-0679-a33c98c7.pth.log)) | +| DPN-98 | 18.44 | 4.30 | 61,570,728 | 11,716.51M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.540/dpn98-0430-50ff8ef6.pth.log)) | +| DPN-131 | 19.62 | 5.03 | 79,254,504 | 16,076.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.534/dpn131-0503-1765c5ee.pth.log)) | +| DarkNet Tiny | 40.74 | 17.84 | 1,042,104 | 500.85M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.69/darknet_tiny-1784-4561e1ad.pth.log)) | +| DarkNet Ref | 38.58 | 17.18 | 7,319,416 | 367.59M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.64/darknet_ref-1718-034595b4.pth.log)) | +| DarkNet-53 | 21.33 | 5.58 | 41,609,928 | 7,133.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.501/darknet53-0558-8be575a0.pth.log)) | +| i-RevNet-301 | 25.98 | 8.41 | 125,120,356 | 14,453.87M | From [jhjacobsen/pytorch-i-revnet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.251/irevnet301-0841-95dc8d94.pth.log)) | +| BagNet-9 | 49.15 | 25.76 | 15,688,744 | 16,049.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.553/bagnet9-2576-36d935e1.pth.log)) | +| BagNet-17 | 36.88 | 15.51 | 16,213,032 | 15,768.77M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.558/bagnet17-1551-04da269c.pth.log)) | +| BagNet-33 | 29.82 | 10.70 | 18,310,184 | 16,371.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.561/bagnet33-1070-7d16b6f4.pth.log)) | +| DLA-34 | 24.59 | 7.24 | 15,742,104 | 3,071.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/dla34-0724-649c67e6.pth.log)) | +| DLA-46-C | 34.28 | 13.23 | 1,301,400 | 585.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.282/dla46c-1323-efcd3636.pth.log)) | +| DLA-X-46-C | 33.26 | 12.69 | 1,068,440 | 546.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.293/dla46xc-1269-00d3754a.pth.log)) | +| DLA-60 | 21.47 | 5.70 | 22,036,632 | 4,255.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.494/dla60-0570-f8ea80aa.pth.log)) | +| DLA-X-60 | 21.07 | 5.75 | 17,352,344 | 3,543.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/dla60x-0575-fae6dc6d.pth.log)) | +| DLA-X-60-C | 30.98 | 10.91 | 1,319,832 | 596.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.289/dla60xc-1091-0f6381f3.pth.log)) | +| DLA-102 | 20.69 | 5.37 | 33,268,888 | 7,190.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/dla102-0537-fdabf0c3.pth.log)) | +| DLA-X-102 | 19.70 | 4.88 | 26,309,272 | 5,884.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.528/dla102x-0488-b1727759.pth.log)) | +| DLA-X2-102 | 18.84 | 4.37 | 41,282,200 | 9,340.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.542/dla102x2-0437-8922a457.pth.log)) | +| DLA-169 | 19.39 | 4.71 | 53,389,720 | 11,593.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.539/dla169-0471-402f95f0.pth.log)) | +| FishNet-150 | 19.26 | 4.75 | 24,959,400 | 6,435.05M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.502/fishnet150-0475-93e26daa.pth.log)) | +| ESPNetv2 x0.5 | 42.32 | 20.15 | 1,241,332 | 35.36M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_wd2-2015-d234781f.pth.log)) | +| ESPNetv2 x1.0 | 33.92 | 13.45 | 1,670,072 | 98.09M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w1-1345-550d5422.pth.log)) | +| ESPNetv2 x1.25 | 32.06 | 12.18 | 1,965,440 | 138.18M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w5d4-1218-85d97b2b.pth.log)) | +| ESPNetv2 x1.5 | 30.83 | 11.29 | 2,314,856 | 185.77M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w3d2-1129-3bbb49ad.pth.log)) | +| ESPNetv2 x2.0 | 27.94 | 9.61 | 3,498,136 | 306.93M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w2-0961-13ba0f72.pth.log)) | +| DiCENet x0.2 | 53.91 | 29.38 | 1,130,704 | 18.76M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_wd5-2938-2d721aa1.pth.log)) | +| DiCENet x0.5 | 46.16 | 22.58 | 1,214,120 | 30.48M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_wd2-2258-4f35289a.pth.log)) | +| DiCENet x0.75 | 37.06 | 15.74 | 1,495,676 | 55.80M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w3d4-1574-29d7d14f.pth.log)) | +| DiCENet x1.0 | 33.59 | 13.25 | 1,805,604 | 82.17M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w1-1325-d3648c4c.pth.log)) | +| DiCENet x1.25 | 32.26 | 12.40 | 2,162,888 | 111.87M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w5d4-1240-8c4dd6f6.pth.log)) | +| DiCENet x1.5 | 30.55 | 11.23 | 2,652,200 | 151.81M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w3d2-1123-e5c5db64.pth.log)) | +| DiCENet x1.75 | 29.76 | 10.62 | 3,264,932 | 201.26M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w7d8-1062-8b599d46.pth.log)) | +| DiCENet x2.0 | 28.95 | 10.19 | 3,979,044 | 257.95M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w2-1019-44e2153f.pth.log)) | +| HRNet-W18 Small V1 | 26.48 | 9.01 | 13,187,464 | 1,615.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.492/hrnet_w18_small_v1-0901-30023064.pth.log)) | +| HRNet-W18 Small V2 | 21.93 | 6.18 | 15,597,464 | 2,618.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/hrnet_w18_small_v2-0618-ef7b1fe4.pth.log)) | +| HRNetV2-W18 | 20.20 | 5.12 | 21,299,004 | 4,323.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.508/hrnetv2_w18-0512-9d2b7fbf.pth.log)) | +| HRNetV2-W30 | 20.35 | 5.21 | 37,712,220 | 8,156.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.525/hrnetv2_w30-0521-73d7e48d.pth.log)) | +| HRNetV2-W32 | 19.96 | 5.06 | 41,232,680 | 8,974.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.528/hrnetv2_w32-0506-4aaf8a21.pth.log)) | +| HRNetV2-W40 | 19.84 | 4.93 | 57,557,160 | 12,752.26M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.534/hrnetv2_w40-0493-6f6d22d3.pth.log)) | +| HRNetV2-W44 | 19.74 | 5.01 | 67,064,984 | 14,946.96M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.541/hrnetv2_w44-0501-ec40e545.pth.log)) | +| HRNetV2-W48 | 19.67 | 5.00 | 77,469,864 | 17,345.39M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.541/hrnetv2_w48-0500-0554b840.pth.log)) | +| HRNetV2-W64 | 19.67 | 4.87 | 128,059,944 | 28,976.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/hrnetv2_w64-0487-108e78b1.pth.log)) | +| VoVNet-27-slim | 29.78 | 9.97 | 3,525,736 | 2,187.25M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.551/vovnet27s-0997-b7a5bf67.pth.log)) | +| VoVNet-39 | 21.71 | 5.64 | 22,600,296 | 7,086.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/vovnet39-0564-63bfa613.pth.log)) | +| VoVNet-57 | 20.33 | 5.18 | 36,640,296 | 8,943.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/vovnet57-0518-c080e471.pth.log)) | +| SelecSLS-42b | 21.93 | 6.11 | 32,458,248 | 2,980.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/selecsls42b-0611-acff1e8b.pth.log)) | +| SelecSLS-60 | 20.35 | 5.29 | 30,670,768 | 3,591.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.496/selecsls60-0529-1e1b05bc.pth.log)) | +| SelecSLS-60b | 20.85 | 5.59 | 32,774,064 | 3,629.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/selecsls60b-0559-a0e7b4ef.pth.log)) | +| HarDNet-39DS | 26.83 | 8.81 | 3,488,228 | 437.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.485/hardnet39ds-0881-ea47fc93.pth.log)) | +| HarDNet-68DS | 24.55 | 7.56 | 4,180,602 | 788.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.487/hardnet68ds-0756-e0da0750.pth.log)) | +| HarDNet-68 | 23.51 | 6.99 | 17,565,348 | 4,256.32M | From [PingoLH/Pytorch-HarDNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.435/hardnet68-0699-2e207f79.pth.log)) | +| HarDNet-85 | 22.00 | 5.86 | 36,670,212 | 9,088.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/hardnet85-0586-39d80e93.pth.log)) | +| SqueezeNet v1.0 | 39.29 | 17.66 | 1,248,424 | 823.67M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.128/squeezenet_v1_0-1766-afdbcf1a.pth.log)) | +| SqueezeNet v1.1 | 39.31 | 17.72 | 1,235,496 | 352.02M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.88/squeezenet_v1_1-1772-25b77bc3.pth.log)) | +| SqueezeResNet v1.0 | 39.77 | 18.09 | 1,248,424 | 823.67M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.178/squeezeresnet_v1_0-1809-25bfc02e.pth.log)) | +| SqueezeResNet v1.1 | 40.09 | 18.21 | 1,235,496 | 352.02M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.70/squeezeresnet_v1_1-1821-c27ed88f.pth.log)) | +| 1.0-SqNxt-23 | 42.51 | 19.06 | 724,056 | 287.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.171/sqnxt23_w1-1906-97b74e0c.pth.log)) | +| 1.0-SqNxt-23v5 | 40.77 | 17.85 | 921,816 | 285.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.172/sqnxt23v5_w1-1785-2fe3ad67.pth.log)) | +| 1.5-SqNxt-23 | 34.89 | 13.50 | 1,511,824 | 552.39M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.210/sqnxt23_w3d2-1350-c2f21bce.pth.log)) | +| 1.5-SqNxt-23v5 | 33.81 | 13.01 | 1,953,616 | 550.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.212/sqnxt23v5_w3d2-1301-c244844b.pth.log)) | +| 2.0-SqNxt-23 | 30.62 | 11.00 | 2,583,752 | 898.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.240/sqnxt23_w2-1100-b9bb7302.pth.log)) | +| 2.0-SqNxt-23v5 | 29.63 | 10.66 | 3,366,344 | 897.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.216/sqnxt23v5_w2-1066-229b0d3d.pth.log)) | +| ShuffleNet x0.25 (g=1) | 62.44 | 37.29 | 209,746 | 12.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.134/shufflenet_g1_wd4-3729-47dbd0f2.pth.log)) | +| ShuffleNet x0.25 (g=3) | 61.74 | 36.53 | 305,902 | 13.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.135/shufflenet_g3_wd4-3653-6abdd65e.pth.log)) | +| ShuffleNet x0.5 (g=1) | 46.59 | 22.61 | 534,484 | 41.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.174/shufflenet_g1_wd2-2261-dae4bdad.pth.log)) | +| ShuffleNet x0.5 (g=3) | 44.16 | 20.80 | 718,324 | 41.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.167/shufflenet_g3_wd2-2080-ccaacfc8.pth.log)) | +| ShuffleNet x0.75 (g=1) | 39.58 | 17.11 | 975,214 | 86.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.218/shufflenet_g1_w3d4-1711-161cd24a.pth.log)) | +| ShuffleNet x0.75 (g=3) | 38.20 | 16.50 | 1,238,266 | 85.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.219/shufflenet_g3_w3d4-1650-3f3b0aef.pth.log)) | +| ShuffleNet x1.0 (g=1) | 34.93 | 13.89 | 1,531,936 | 148.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.223/shufflenet_g1_w1-1389-4cfb65a3.pth.log)) | +| ShuffleNet x1.0 (g=2) | 34.25 | 13.63 | 1,733,848 | 147.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.241/shufflenet_g2_w1-1363-07256203.pth.log)) | +| ShuffleNet x1.0 (g=3) | 34.39 | 13.48 | 1,865,728 | 145.46M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.244/shufflenet_g3_w1-1348-ce54f64e.pth.log)) | +| ShuffleNet x1.0 (g=4) | 34.19 | 13.35 | 1,968,344 | 143.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.245/shufflenet_g4_w1-1335-e2415f82.pth.log)) | +| ShuffleNet x1.0 (g=8) | 34.06 | 13.42 | 2,434,768 | 150.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.250/shufflenet_g8_w1-1342-9a979b36.pth.log)) | +| ShuffleNetV2 x0.5 | 40.99 | 18.65 | 1,366,792 | 43.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.90/shufflenetv2_wd2-1865-9c22238b.pth.log)) | +| ShuffleNetV2 x1.0 | 31.44 | 11.63 | 2,278,604 | 149.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.133/shufflenetv2_w1-1163-c71dfb7a.pth.log)) | +| ShuffleNetV2 x1.5 | 27.47 | 9.42 | 4,406,098 | 320.77M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.288/shufflenetv2_w3d2-0942-26a92304.pth.log)) | +| ShuffleNetV2 x2.0 | 25.94 | 8.45 | 7,601,686 | 595.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.301/shufflenetv2_w2-0845-337255f6.pth.log)) | +| ShuffleNetV2b x0.5 | 40.29 | 18.22 | 1,366,792 | 43.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.157/shufflenetv2b_wd2-1822-01d18d6f.pth.log)) | +| ShuffleNetV2b x1.0 | 30.62 | 11.25 | 2,279,760 | 150.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.161/shufflenetv2b_w1-1125-6a5d3dc4.pth.log)) | +| ShuffleNetV2b x1.5 | 27.31 | 9.11 | 4,410,194 | 323.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.203/shufflenetv2b_w3d2-0911-f2106fee.pth.log)) | +| ShuffleNetV2b x2.0 | 25.58 | 8.34 | 7,611,290 | 603.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.242/shufflenetv2b_w2-0834-cb36b92c.pth.log)) | +| 108-MENet-8x1 (g=3) | 43.94 | 20.76 | 654,516 | 42.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.89/menet108_8x1_g3-2076-6acc82e4.pth.log)) | +| 128-MENet-8x1 (g=4) | 42.43 | 19.59 | 750,796 | 45.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.103/menet128_8x1_g4-1959-48fa80fc.pth.log)) | +| 160-MENet-8x1 (g=8) | 43.84 | 20.84 | 850,120 | 45.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.154/menet160_8x1_g8-2084-0f4fce43.pth.log)) | +| 228-MENet-12x1 (g=3) | 34.11 | 13.16 | 1,806,568 | 152.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.131/menet228_12x1_g3-1316-5b670c42.pth.log)) | +| 256-MENet-12x1 (g=4) | 32.65 | 12.52 | 1,888,240 | 150.65M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.152/menet256_12x1_g4-1252-14c6c86d.pth.log)) | +| 348-MENet-12x1 (g=3) | 28.24 | 9.58 | 3,368,128 | 312.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.173/menet348_12x1_g3-0958-ad50f635.pth.log)) | +| 352-MENet-12x1 (g=8) | 31.56 | 12.00 | 2,272,872 | 157.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.198/menet352_12x1_g8-1200-4ee200c5.pth.log)) | +| 456-MENet-24x1 (g=3) | 25.32 | 7.99 | 5,304,784 | 567.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.237/menet456_24x1_g3-0799-826c0022.pth.log)) | +| MobileNet x0.25 | 46.26 | 22.49 | 470,072 | 44.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.62/mobilenet_wd4-2249-1ad5e8fe.pth.log)) | +| MobileNet x0.5 | 34.15 | 13.55 | 1,331,592 | 155.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.156/mobilenet_wd2-1355-41a21242.pth.log)) | +| MobileNet x0.75 | 30.14 | 10.76 | 2,585,560 | 333.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.130/mobilenet_w3d4-1076-d801bcae.pth.log)) | +| MobileNet x1.0 | 26.61 | 8.95 | 4,231,976 | 579.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.155/mobilenet_w1-0895-7e1d739f.pth.log)) | +| MobileNetb x0.25 | 45.51 | 22.01 | 467,592 | 42.88M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/mobilenetb_wd4-2201-428da928.pth.log)) | +| MobileNetb x0.5 | 33.42 | 13.10 | 1,326,632 | 153.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.480/mobilenetb_wd2-1310-d1549ead.pth.log)) | +| MobileNetb x0.75 | 29.55 | 10.37 | 2,578,120 | 330.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/mobilenetb_w3d4-1037-8d732bc9.pth.log)) | +| MobileNetb x1.0 | 25.45 | 8.16 | 4,222,056 | 574.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/mobilenetb_w1-0816-107275a1.pth.log)) | +| FD-MobileNet x0.25 | 55.86 | 30.98 | 383,160 | 12.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.177/fdmobilenet_wd4-3098-2b22b709.pth.log)) | +| FD-MobileNet x0.5 | 43.13 | 20.15 | 993,928 | 41.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.83/fdmobilenet_wd2-2015-414dbeed.pth.log)) | +| FD-MobileNet x0.75 | 38.42 | 16.41 | 1,833,304 | 86.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.159/fdmobilenet_w3d4-1641-5561d58a.pth.log)) | +| FD-MobileNet x1.0 | 34.23 | 13.38 | 2,901,288 | 147.46M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.162/fdmobilenet_w1-1338-9d026c04.pth.log)) | +| MobileNetV2 x0.25 | 48.34 | 24.51 | 1,516,392 | 34.24M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.137/mobilenetv2_wd4-2451-05e1e3a2.pth.log)) | +| MobileNetV2 x0.5 | 35.98 | 14.93 | 1,964,736 | 100.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.170/mobilenetv2_wd2-1493-b82d79f6.pth.log)) | +| MobileNetV2 x0.75 | 30.17 | 10.82 | 2,627,592 | 198.50M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.230/mobilenetv2_w3d4-1082-8656de5a.pth.log)) | +| MobileNetV2 x1.0 | 26.97 | 8.87 | 3,504,960 | 329.36M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.213/mobilenetv2_w1-0887-13a021bc.pth.log)) | +| MobileNetV2b x0.25 | 47.05 | 23.68 | 1,516,312 | 33.18M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/mobilenetv2b_wd4-2368-399f95e6.pth.log)) | +| MobileNetV2b x0.5 | 34.77 | 14.08 | 1,964,448 | 96.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/mobilenetv2b_wd2-1408-f820ea85.pth.log)) | +| MobileNetV2b x0.75 | 30.74 | 11.05 | 2,626,968 | 190.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/mobilenetv2b_w3d4-1105-0924efc9.pth.log)) | +| MobileNetV2b x1.0 | 27.70 | 9.12 | 3,503,872 | 315.51M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/mobilenetv2b_w1-0912-2bcab1d0.pth.log)) | +| MobileNetV3 L/224/1.0 | 24.55 | 7.44 | 5,481,752 | 227.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.491/mobilenetv3_large_w1-0744-b59cae6d.pth.log)) | +| IGCV3 x0.25 | 53.70 | 28.71 | 1,534,020 | 41.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.142/igcv3_wd4-2871-c9f28301.pth.log)) | +| IGCV3 x0.5 | 39.75 | 17.32 | 1,985,528 | 111.12M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.132/igcv3_wd2-1732-8c504f44.pth.log)) | +| IGCV3 x0.75 | 31.05 | 11.40 | 2,638,084 | 210.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.207/igcv3_w3d4-1140-63f43cf8.pth.log)) | +| IGCV3 x1.0 | 27.91 | 9.20 | 3,491,688 | 340.79M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.243/igcv3_w1-0920-12385791.pth.log)) | +| MnasNet-B1 | 24.96 | 7.40 | 4,383,312 | 326.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/mnasnet_b1-0740-7025b43c.pth.log)) | +| MnasNet-A1 | 24.39 | 7.20 | 3,887,038 | 326.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/mnasnet_a1-0720-e155916c.pth.log)) | +| DARTS | 25.31 | 7.75 | 4,718,752 | 539.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.485/darts-0775-fc3171c5.pth.log)) | +| ProxylessNAS CPU | 24.71 | 7.61 | 4,361,648 | 459.96M | From [MIT-HAN-LAB/ProxylessNAS] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.304/proxylessnas_cpu-0761-fe9572b1.pth.log)) | +| ProxylessNAS GPU | 24.79 | 7.45 | 7,119,848 | 476.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.333/proxylessnas_gpu-0745-acca5941.pth.log)) | +| ProxylessNAS Mobile | 25.41 | 7.80 | 4,080,512 | 332.46M | From [MIT-HAN-LAB/ProxylessNAS] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.304/proxylessnas_mobile-0780-639a90c2.pth.log)) | +| ProxylessNAS Mob-14 | 23.29 | 6.62 | 6,857,568 | 597.10M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.331/proxylessnas_mobile14-0662-0c0ad983.pth.log)) | +| FBNet-Cb | 24.89 | 7.62 | 5,572,200 | 399.26M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.415/fbnet_cb-0762-2edb61f8.pth.log)) | +| Xception | 20.35 | 5.16 | 22,855,952 | 8,403.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.544/xception-0516-a75b50ec.pth.log)) | +| InceptionV3 | 20.44 | 5.33 | 23,834,568 | 5,743.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.552/inceptionv3-0533-025fb71c.pth.log)) | +| InceptionV4 | 19.83 | 4.88 | 42,679,816 | 12,304.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/inceptionv4-0488-4ae4f331.pth.log)) | +| InceptionResNetV1 | 19.63 | 4.80 | 23,995,624 | 6,329.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.552/inceptionresnetv1-0480-f8b3e9e3.pth.log)) | +| InceptionResNetV2 | 19.40 | 4.74 | 55,843,464 | 13,188.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.547/inceptionresnetv2-0474-19f51781.pth.log)) | +| PolyNet | 19.10 | 4.52 | 95,366,600 | 34,821.34M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.96/polynet-0452-6a1b295d.pth.log)) | +| NASNet-A 4@1056 | 25.32 | 8.03 | 5,289,978 | 584.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/nasnet_4a1056-0803-44f5ecbe.pth.log)) | +| NASNet-A 6@4032 | 18.14 | 4.21 | 88,753,150 | 23,976.44M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.101/nasnet_6a4032-0421-f354d28f.pth.log)) | +| PNASNet-5-Large | 17.88 | 4.28 | 86,057,668 | 25,140.77M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.114/pnasnet5large-0428-65de46eb.pth.log)) | +| SPNASNet | 25.41 | 7.98 | 4,421,616 | 346.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.490/spnasnet-0798-a25ca157.pth.log)) | +| EfficientNet-B0 | 24.77 | 7.52 | 5,288,548 | 414.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.364/efficientnet_b0-0752-0e386130.pth.log)) | +| EfficientNet-B1 | 23.08 | 6.38 | 7,794,184 | 732.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.376/efficientnet_b1-0638-ac77bcd7.pth.log)) | +| EfficientNet-B0b | 23.88 | 7.02 | 5,288,548 | 414.31M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b0b-0702-ecf61b9b.pth.log)) | +| EfficientNet-B1b | 21.60 | 5.94 | 7,794,184 | 732.54M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b1b-0594-614e8166.pth.log)) | +| EfficientNet-B2b | 20.31 | 5.27 | 9,109,994 | 1,051.98M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b2b-0527-531f10e6.pth.log)) | +| EfficientNet-B3b | 18.83 | 4.45 | 12,233,232 | 1,928.55M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b3b-0445-3c5fbba8.pth.log)) | +| EfficientNet-B4b | 17.45 | 3.89 | 19,341,616 | 4,607.46M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b4b-0389-6305bfe6.pth.log)) | +| EfficientNet-B5b | 16.56 | 3.37 | 30,389,784 | 10,695.20M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b5b-0337-e1c2ffcf.pth.log)) | +| EfficientNet-B6b | 16.29 | 3.23 | 43,040,704 | 19,796.24M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b6b-0323-e5c1d7c3.pth.log)) | +| EfficientNet-B7b | 15.94 | 3.22 | 66,347,960 | 39,010.98M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b7b-0322-b9c5965a.pth.log)) | +| EfficientNet-B0c* | 22.92 | 6.75 | 5,288,548 | 414.31M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b0c-0675-21778c6e.pth.log)) | +| EfficientNet-B1c* | 20.73 | 5.69 | 7,794,184 | 732.54M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b1c-0569-239ed6a4.pth.log)) | +| EfficientNet-B2c* | 19.85 | 5.03 | 9,109,994 | 1,051.98M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b2c-0503-be48d3d7.pth.log)) | +| EfficientNet-B3c* | 18.26 | 4.42 | 12,233,232 | 1,928.55M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b3c-0442-ea7080ab.pth.log)) | +| EfficientNet-B4c* | 16.82 | 3.69 | 19,341,616 | 4,607.46M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b4c-0369-5954cc05.pth.log)) | +| EfficientNet-B5c* | 15.91 | 3.10 | 30,389,784 | 10,695.20M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b5c-0310-589fefc6.pth.log)) | +| EfficientNet-B6c* | 15.47 | 2.96 | 43,040,704 | 19,796.24M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b6c-0296-546e61da.pth.log)) | +| EfficientNet-B7c* | 15.13 | 2.88 | 66,347,960 | 39,010.98M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b7c-0288-13d683f2.pth.log)) | +| EfficientNet-B8c* | 14.85 | 2.76 | 87,413,142 | 64,541.66M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b8c-0276-a9973d66.pth.log)) | +| EfficientNet-Edge-Small-b* | 22.74 | 6.40 | 5,438,392 | 2,378.12M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.434/efficientnet_edge_small_b-0640-e27c3444.pth.log)) | +| EfficientNet-Edge-Medium-b* | 21.18 | 5.63 | 6,899,496 | 3,700.12M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.434/efficientnet_edge_medium_b-0563-99fa34c7.pth.log)) | +| EfficientNet-Edge-Large-b* | 19.66 | 4.91 | 10,589,712 | 9,747.66M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.434/efficientnet_edge_large_b-0491-d502326f.pth.log)) | +| MixNet-S | 23.92 | 7.17 | 4,134,606 | 260.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/mixnet_s-0717-ab2c4e37.pth.log)) | +| MixNet-M | 22.45 | 6.47 | 5,014,382 | 366.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/mixnet_m-0647-4d90d345.pth.log)) | +| MixNet-L | 21.54 | 5.71 | 7,329,252 | 591.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.500/mixnet_l-0571-c686ba17.pth.log)) | +| ResNet(A)-10 | 31.29 | 11.90 | 5,438,024 | 1,135.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.484/resneta10-1190-a066e5e0.pth.log)) | +| ResNet(A)-BC-14 | 28.06 | 9.90 | 10,084,168 | 1,721.57M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.477/resnetabc14b-0990-bad51cb0.pth.log)) | +| ResNet(A)-18 | 25.54 | 8.31 | 11,708,744 | 2,062.24M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/resneta18-0831-e9f206f4.pth.log)) | +| ResNet(A)-50b | 21.03 | 5.56 | 25,576,264 | 4,352.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.492/resneta50b-0556-7cedbb3b.pth.log)) | +| ResNet(A)-101b | 19.13 | 4.53 | 44,568,392 | 8,072.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.532/resneta101b-0453-0f342545.pth.log)) | +| ResNet(A)-152b | 18.80 | 4.41 | 60,212,040 | 11,796.83M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.524/resneta152b-0441-c4b9bc9a.pth.log)) | +| ResNet(D)-50b | 21.04 | 5.65 | 25,680,808 | 20,497.60M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.296/resnetd50b-0565-ec03d815.pth.log)) | +| ResNet(D)-101b | 19.59 | 4.73 | 44,672,936 | 35,392.65M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.296/resnetd101b-0473-f851c920.pth.log)) | +| ResNet(D)-152b | 19.42 | 4.82 | 60,316,584 | 47,662.18M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.296/resnetd152b-0482-112e216d.pth.log)) | + +### CIFAR-10 + +| Model | Error, % | Params | FLOPs/2 | Remarks | +| --- | ---: | ---: | ---: | --- | +| NIN | 7.43 | 966,986 | 222.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.175/nin_cifar10-0743-795b0824.pth.log)) | +| ResNet-20 | 5.97 | 272,474 | 41.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.163/resnet20_cifar10-0597-9b0024ac.pth.log)) | +| ResNet-56 | 4.52 | 855,770 | 127.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.163/resnet56_cifar10-0452-628c42a2.pth.log)) | +| ResNet-110 | 3.69 | 1,730,714 | 255.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.163/resnet110_cifar10-0369-4d6ca1fc.pth.log)) | +| ResNet-164(BN) | 3.68 | 1,704,154 | 255.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.179/resnet164bn_cifar10-0368-74ae9f4b.pth.log)) | +| ResNet-272(BN) | 3.33 | 2,816,986 | 420.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.368/resnet272bn_cifar10-0333-84f28e0c.pth.log)) | +| ResNet-542(BN) | 3.43 | 5,599,066 | 833.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.369/resnet542bn_cifar10-0343-0fd36dd1.pth.log)) | +| ResNet-1001 | 3.28 | 10,328,602 | 1,536.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.201/resnet1001_cifar10-0328-77a179e2.pth.log)) | +| ResNet-1202 | 3.53 | 19,424,026 | 2,857.17M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.214/resnet1202_cifar10-0353-1d5a2129.pth.log)) | +| PreResNet-20 | 6.51 | 272,282 | 41.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.164/preresnet20_cifar10-0651-76cec68d.pth.log)) | +| PreResNet-56 | 4.49 | 855,578 | 127.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.164/preresnet56_cifar10-0449-e9124fcf.pth.log)) | +| PreResNet-110 | 3.86 | 1,730,522 | 255.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.164/preresnet110_cifar10-0386-cc08946a.pth.log)) | +| PreResNet-164(BN) | 3.64 | 1,703,258 | 255.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.196/preresnet164bn_cifar10-0364-429012d4.pth.log)) | +| PreResNet-272(BN) | 3.25 | 2,816,090 | 420.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.389/preresnet272bn_cifar10-0325-1a6a016e.pth.log)) | +| PreResNet-542(BN) | 3.14 | 5,598,170 | 833.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.391/preresnet542bn_cifar10-0314-66fd6f20.pth.log)) | +| PreResNet-1001 | 2.65 | 10,327,706 | 1,536.18M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.209/preresnet1001_cifar10-0265-9fedfe5f.pth.log)) | +| PreResNet-1202 | 3.39 | 19,423,834 | 2,857.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.246/preresnet1202_cifar10-0339-6fc686b0.pth.log)) | +| ResNeXt-29 (32x4d) | 3.15 | 4,775,754 | 780.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.169/resnext29_32x4d_cifar10-0315-30413525.pth.log)) | +| ResNeXt-29 (16x64d) | 2.41 | 68,155,210 | 10,709.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.176/resnext29_16x64d_cifar10-0241-4133d3d0.pth.log)) | +| ResNeXt-272 (1x64d) | 2.55 | 44,540,746 | 6,565.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.372/resnext272_1x64d_cifar10-0255-070ccc35.pth.log)) | +| ResNeXt-272 (2x32d) | 2.74 | 32,928,586 | 4,867.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.375/resnext272_2x32d_cifar10-0274-d2ace03c.pth.log)) | +| SE-ResNet-20 | 6.01 | 274,847 | 41.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet20_cifar10-0601-935d8943.pth.log)) | +| SE-ResNet-56 | 4.13 | 862,889 | 127.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet56_cifar10-0413-b61c1439.pth.log)) | +| SE-ResNet-110 | 3.63 | 1,744,952 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet110_cifar10-0363-1ddec230.pth.log)) | +| SE-ResNet-164(BN) | 3.39 | 1,906,258 | 256.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet164bn_cifar10-0339-1085dab6.pth.log)) | +| SE-ResNet-272(BN) | 3.39 | 3,153,826 | 422.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.390/seresnet272bn_cifar10-0339-812db518.pth.log)) | +| SE-ResNet-542(BN) | 3.47 | 6,272,746 | 838.01M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.385/seresnet542bn_cifar10-0347-d1542214.pth.log)) | +| SE-PreResNet-20 | 6.18 | 274,559 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet20_cifar10-0618-eabb3fce.pth.log)) | +| SE-PreResNet-56 | 4.51 | 862,601 | 127.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet56_cifar10-0451-fc23e153.pth.log)) | +| SE-PreResNet-110 | 4.54 | 1,744,664 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet110_cifar10-0454-418daea9.pth.log)) | +| SE-PreResNet-164(BN) | 3.73 | 1,904,882 | 256.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet164bn_cifar10-0373-ff353a29.pth.log)) | +| SE-PreResNet-272(BN) | 3.39 | 3,152,450 | 422.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet272bn_cifar10-0339-606d0964.pth.log)) | +| SE-PreResNet-542(BN) | 3.08 | 6,271,370 | 837.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.382/sepreresnet542bn_cifar10-0308-652bc884.pth.log)) | +| PyramidNet-110 (a=48) | 3.72 | 1,772,706 | 408.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.184/pyramidnet110_a48_cifar10-0372-eb185645.pth.log)) | +| PyramidNet-110 (a=84) | 2.98 | 3,904,446 | 778.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.185/pyramidnet110_a84_cifar10-0298-7b835a3c.pth.log)) | +| PyramidNet-110 (a=270) | 2.51 | 28,485,477 | 4,730.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.194/pyramidnet110_a270_cifar10-0251-31bdd9d5.pth.log)) | +| PyramidNet-164 (a=270, BN) | 2.42 | 27,216,021 | 4,608.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.264/pyramidnet164_a270_bn_cifar10-0242-daa2a402.pth.log)) | +| PyramidNet-200 (a=240, BN) | 2.44 | 26,752,702 | 4,563.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.268/pyramidnet200_a240_bn_cifar10-0244-44433afd.pth.log)) | +| PyramidNet-236 (a=220, BN) | 2.47 | 26,969,046 | 4,631.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.285/pyramidnet236_a220_bn_cifar10-0247-daa91d74.pth.log)) | +| PyramidNet-272 (a=200, BN) | 2.39 | 26,210,842 | 4,541.36M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.284/pyramidnet272_a200_bn_cifar10-0239-586b1ecd.pth.log)) | +| DenseNet-40 (k=12) | 5.61 | 599,050 | 210.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.193/densenet40_k12_cifar10-0561-8b8e8194.pth.log)) | +| DenseNet-BC-40 (k=12) | 6.43 | 176,122 | 74.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.231/densenet40_k12_bc_cifar10-0643-6dc86a2e.pth.log)) | +| DenseNet-BC-40 (k=24) | 4.52 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.220/densenet40_k24_bc_cifar10-0452-669c5255.pth.log)) | +| DenseNet-BC-40 (k=36) | 4.04 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.224/densenet40_k36_bc_cifar10-0404-b1a4cc7e.pth.log)) | +| DenseNet-100 (k=12) | 3.66 | 4,068,490 | 1,353.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.205/densenet100_k12_cifar10-0366-26089c6e.pth.log)) | +| DenseNet-100 (k=24) | 3.13 | 16,114,138 | 5,354.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.252/densenet100_k24_cifar10-0313-397f0e39.pth.log)) | +| DenseNet-BC-100 (k=12) | 4.16 | 769,162 | 298.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.189/densenet100_k12_bc_cifar10-0416-b9232829.pth.log)) | +| DenseNet-BC-190 (k=40) | 2.52 | 25,624,430 | 9,400.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.286/densenet190_k40_bc_cifar10-0252-2896fa08.pth.log)) | +| DenseNet-BC-250 (k=24) | 2.67 | 15,324,406 | 5,519.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.290/densenet250_k24_bc_cifar10-0267-f8f9d305.pth.log)) | +| X-DenseNet-BC-40-2 (k=24) | 5.31 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.226/xdensenet40_2_k24_bc_cifar10-0531-b91a9dc3.pth.log)) | +| X-DenseNet-BC-40-2 (k=36) | 4.37 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.233/xdensenet40_2_k36_bc_cifar10-0437-ed264a20.pth.log)) | +| WRN-16-10 | 2.93 | 17,116,634 | 2,414.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.166/wrn16_10_cifar10-0293-ce810d8a.pth.log)) | +| WRN-28-10 | 2.39 | 36,479,194 | 5,246.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.166/wrn28_10_cifar10-0239-fe97dcd6.pth.log)) | +| WRN-40-8 | 2.37 | 35,748,314 | 5,176.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.166/wrn40_8_cifar10-0237-8dc84ec7.pth.log)) | +| WRN-20-10-1bit | 3.26 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_1bit_cifar10-0326-e6140f8a.pth.log)) | +| WRN-20-10-32bit | 3.14 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_32bit_cifar10-0314-a18146e8.pth.log)) | +| RoR-3-56 | 5.43 | 762,746 | 113.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.228/ror3_56_cifar10-0543-44f0f47d.pth.log)) | +| RoR-3-110 | 4.35 | 1,637,690 | 242.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.235/ror3_110_cifar10-0435-fb2a2b04.pth.log)) | +| RoR-3-164 | 3.93 | 2,512,634 | 370.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.294/ror3_164_cifar10-0393-de7b6dc6.pth.log)) | +| RiR | 3.28 | 9,492,980 | 1,281.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.292/rir_cifar10-0328-414c3e60.pth.log)) | +| Shake-Shake-ResNet-20-2x16d | 5.15 | 541,082 | 81.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.215/shakeshakeresnet20_2x16d_cifar10-0515-ef71ec0d.pth.log)) | +| Shake-Shake-ResNet-26-2x32d | 3.17 | 2,923,162 | 428.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.217/shakeshakeresnet26_2x32d_cifar10-0317-ecd1f833.pth.log)) | +| DIA-ResNet-20 | 6.22 | 286,866 | 41.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet20_cifar10-0622-5e1a02bf.pth.log)) | +| DIA-ResNet-56 | 5.05 | 870,162 | 129.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet56_cifar10-0505-8ac86804.pth.log)) | +| DIA-ResNet-110 | 4.10 | 1,745,106 | 264.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet110_cifar10-0410-0c00a7da.pth.log)) | +| DIA-ResNet-164(BN) | 3.50 | 1,923,002 | 343.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet164bn_cifar10-0350-d31f2ebc.pth.log)) | +| DIA-PreResNet-20 | 6.42 | 286,674 | 41.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet20_cifar10-0642-14a1eb85.pth.log)) | +| DIA-PreResNet-56 | 4.83 | 869,970 | 129.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet56_cifar10-0483-41cae958.pth.log)) | +| DIA-PreResNet-110 | 4.25 | 1,744,914 | 264.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet110_cifar10-0425-56385016.pth.log)) | +| DIA-PreResNet-164(BN) | 3.56 | 1,922,106 | 343.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet164bn_cifar10-0356-6ec898c8.pth.log)) | + +### CIFAR-100 + +| Model | Error, % | Params | FLOPs/2 | Remarks | +| --- | ---: | ---: | ---: | --- | +| NIN | 28.39 | 984,356 | 224.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.183/nin_cifar100-2839-627a11c0.pth.log)) | +| ResNet-20 | 29.64 | 278,324 | 41.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.180/resnet20_cifar100-2964-a5322afe.pth.log)) | +| ResNet-56 | 24.88 | 861,620 | 127.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.181/resnet56_cifar100-2488-d65f53b1.pth.log)) | +| ResNet-110 | 22.80 | 1,736,564 | 255.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.190/resnet110_cifar100-2280-d8d397a7.pth.log)) | +| ResNet-164(BN) | 20.44 | 1,727,284 | 255.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.182/resnet164bn_cifar100-2044-8fa07b72.pth.log)) | +| ResNet-272(BN) | 20.07 | 2,840,116 | 420.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.368/resnet272bn_cifar100-2007-a80d2b3c.pth.log)) | +| ResNet-542(BN) | 19.32 | 5,622,196 | 833.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.369/resnet542bn_cifar100-1932-a631d3ce.pth.log)) | +| ResNet-1001 | 19.79 | 10,351,732 | 1,536.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.254/resnet1001_cifar100-1979-2728b558.pth.log)) | +| ResNet-1202 | 21.56 | 19,429,876 | 2,857.17M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.410/resnet1202_cifar100-2156-86ecd091.pth.log)) | +| PreResNet-20 | 30.22 | 278,132 | 41.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.187/preresnet20_cifar100-3022-3dbfa6a2.pth.log)) | +| PreResNet-56 | 25.05 | 861,428 | 127.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.188/preresnet56_cifar100-2505-ca90a2be.pth.log)) | +| PreResNet-110 | 22.67 | 1,736,372 | 255.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.191/preresnet110_cifar100-2267-3954e915.pth.log)) | +| PreResNet-164(BN) | 20.18 | 1,726,388 | 255.10M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.192/preresnet164bn_cifar100-2018-a8e67ca6.pth.log)) | +| PreResNet-272(BN) | 19.63 | 2,839,220 | 420.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.389/preresnet272bn_cifar100-1963-6fe0d2e2.pth.log)) | +| PreResNet-542(BN) | 18.71 | 5,621,300 | 833.66M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.391/preresnet542bn_cifar100-1871-07f1fb25.pth.log)) | +| PreResNet-1001 | 18.41 | 10,350,836 | 1,536.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.283/preresnet1001_cifar100-1841-88f14ed9.pth.log)) | +| ResNeXt-29 (32x4d) | 19.50 | 4,868,004 | 780.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.200/resnext29_32x4d_cifar100-1950-13ba13d9.pth.log)) | +| ResNeXt-29 (16x64d) | 16.93 | 68,247,460 | 10,709.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.322/resnext29_16x64d_cifar100-1693-05e9a7f1.pth.log)) | +| ResNeXt-272 (1x64d) | 19.11 | 44,632,996 | 6,565.25M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.372/resnext272_1x64d_cifar100-1911-114eb0f8.pth.log)) | +| ResNeXt-272 (2x32d) | 18.34 | 33,020,836 | 4,867.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.375/resnext272_2x32d_cifar100-1834-0b30c470.pth.log)) | +| SE-ResNet-20 | 28.54 | 280,697 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet20_cifar100-2854-8c7abf66.pth.log)) | +| SE-ResNet-56 | 22.94 | 868,739 | 127.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet56_cifar100-2294-7fa54f45.pth.log)) | +| SE-ResNet-110 | 20.86 | 1,750,802 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet110_cifar100-2086-a82c3093.pth.log)) | +| SE-ResNet-164(BN) | 19.95 | 1,929,388 | 256.57M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet164bn_cifar100-1995-97dd4ab6.pth.log)) | +| SE-ResNet-272(BN) | 19.07 | 3,176,956 | 422.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.390/seresnet272bn_cifar100-1907-179e1c38.pth.log)) | +| SE-ResNet-542(BN) | 18.87 | 6,295,876 | 838.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.385/seresnet542bn_cifar100-1887-9c4e7623.pth.log)) | +| SE-PreResNet-20 | 28.31 | 280,409 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet20_cifar100-2831-fe7558e0.pth.log)) | +| SE-PreResNet-56 | 23.05 | 868,451 | 127.21M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet56_cifar100-2305-c4bdc5d7.pth.log)) | +| SE-PreResNet-110 | 22.61 | 1,750,514 | 255.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet110_cifar100-2261-ed7d3c3e.pth.log)) | +| SE-PreResNet-164(BN) | 20.05 | 1,928,012 | 256.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet164bn_cifar100-2005-df1163c4.pth.log)) | +| SE-PreResNet-272(BN) | 19.13 | 3,175,580 | 422.47M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet272bn_cifar100-1913-cb715113.pth.log)) | +| SE-PreResNet-542(BN) | 19.45 | 6,294,500 | 837.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.382/sepreresnet542bn_cifar100-1945-9180f863.pth.log)) | +| PyramidNet-110 (a=48) | 20.95 | 1,778,556 | 408.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.186/pyramidnet110_a48_cifar100-2095-95da1a20.pth.log)) | +| PyramidNet-110 (a=84) | 18.87 | 3,913,536 | 778.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.199/pyramidnet110_a84_cifar100-1887-ff711084.pth.log)) | +| PyramidNet-110 (a=270) | 17.10 | 28,511,307 | 4,730.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.319/pyramidnet110_a270_cifar100-1710-7417dd99.pth.log)) | +| PyramidNet-164 (a=270, BN) | 16.70 | 27,319,071 | 4,608.91M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.312/pyramidnet164_a270_bn_cifar100-1670-54d99c83.pth.log)) | +| PyramidNet-200 (a=240, BN) | 16.09 | 26,844,952 | 4,563.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.317/pyramidnet200_a240_bn_cifar100-1609-0729db37.npz.log)) | +| PyramidNet-236 (a=220, BN) | 16.34 | 27,054,096 | 4,631.41M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.312/pyramidnet236_a220_bn_cifar100-1634-a45816eb.pth.log)) | +| PyramidNet-272 (a=200, BN) | 16.19 | 26,288,692 | 4,541.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.312/pyramidnet272_a200_bn_cifar100-1619-98bc2f48.pth.log)) | +| DenseNet-40 (k=12) | 24.90 | 622,360 | 210.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.195/densenet40_k12_cifar100-2490-d182c224.pth.log)) | +| DenseNet-BC-40 (k=12) | 28.41 | 188,092 | 74.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.232/densenet40_k12_bc_cifar100-2841-1e9db765.pth.log)) | +| DenseNet-BC-40 (k=24) | 22.67 | 714,196 | 293.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.221/densenet40_k24_bc_cifar100-2267-411719c0.pth.log)) | +| DenseNet-BC-40 (k=36) | 20.50 | 1,578,412 | 654.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.225/densenet40_k36_bc_cifar100-2050-cde836fa.pth.log)) | +| DenseNet-100 (k=12) | 19.64 | 4,129,600 | 1,353.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.206/densenet100_k12_cifar100-1964-5e10cd83.pth.log)) | +| DenseNet-100 (k=24) | 18.08 | 16,236,268 | 5,354.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.318/densenet100_k24_cifar100-1808-1c0a8067.pth.log)) | +| DenseNet-BC-100 (k=12) | 21.19 | 800,032 | 298.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.208/densenet100_k12_bc_cifar100-2119-05a6f027.pth.log)) | +| DenseNet-BC-250 (k=24) | 17.39 | 15,480,556 | 5,519.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.303/densenet250_k24_bc_cifar100-1739-09ac3e7d.pth.log)) | +| X-DenseNet-BC-40-2 (k=24) | 23.96 | 714,196 | 293.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.227/xdensenet40_2_k24_bc_cifar100-2396-0ce8f78a.pth.log)) | +| X-DenseNet-BC-40-2 (k=36) | 21.65 | 1,578,412 | 654.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.234/xdensenet40_2_k36_bc_cifar100-2165-6f68f83d.pth.log)) | +| WRN-16-10 | 18.95 | 17,174,324 | 2,414.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.204/wrn16_10_cifar100-1895-bef9809c.pth.log)) | +| WRN-28-10 | 17.88 | 36,536,884 | 5,247.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.320/wrn28_10_cifar100-1788-8c3fe818.pth.log)) | +| WRN-40-8 | 18.03 | 35,794,484 | 5,176.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.321/wrn40_8_cifar100-1803-0d18bfbf.pth.log)) | +| WRN-20-10-1bit | 19.04 | 26,794,920 | 4,022.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_1bit_cifar100-1904-149860c8.pth.log)) | +| WRN-20-10-32bit | 18.12 | 26,794,920 | 4,022.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_32bit_cifar100-1812-70d8972c.pth.log)) | +| RoR-3-56 | 25.49 | 768,596 | 113.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.229/ror3_56_cifar100-2549-34be6719.pth.log)) | +| RoR-3-110 | 23.64 | 1,643,540 | 242.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.236/ror3_110_cifar100-2364-d599e3a9.pth.log)) | +| RoR-3-164 | 22.34 | 2,518,484 | 370.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.294/ror3_164_cifar100-2234-d37483fc.pth.log)) | +| RiR | 19.23 | 9,527,720 | 1,283.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.292/rir_cifar100-1923-de8ec24a.pth.log)) | +| Shake-Shake-ResNet-20-2x16d | 29.22 | 546,932 | 81.79M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.247/shakeshakeresnet20_2x16d_cifar100-2922-4d07f142.pth.log)) | +| Shake-Shake-ResNet-26-2x32d | 18.80 | 2,934,772 | 428.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.222/shakeshakeresnet26_2x32d_cifar100-1880-b47e371f.pth.log)) | +| DIA-ResNet-20 | 27.71 | 292,716 | 41.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet20_cifar100-2771-28aa1a18.pth.log)) | +| DIA-ResNet-56 | 24.35 | 876,012 | 129.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet56_cifar100-2435-19085975.pth.log)) | +| DIA-ResNet-110 | 22.11 | 1,750,956 | 264.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet110_cifar100-2211-7096ddb3.pth.log)) | +| DIA-ResNet-164(BN) | 19.53 | 1,946,132 | 343.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet164bn_cifar100-1953-b1c474d2.pth.log)) | +| DIA-PreResNet-20 | 28.37 | 292,524 | 41.53M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet20_cifar100-2837-f7675c09.pth.log)) | +| DIA-PreResNet-56 | 25.05 | 875,820 | 129.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet56_cifar100-2505-5d357985.pth.log)) | +| DIA-PreResNet-110 | 22.69 | 1,750,764 | 264.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet110_cifar100-2269-c993cc29.pth.log)) | +| DIA-PreResNet-164(BN) | 19.99 | 1,945,236 | 343.39M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet164bn_cifar100-1999-00872f98.pth.log)) | + +### SVHN + +| Model | Error, % | Params | FLOPs/2 | Remarks | +| --- | ---: | ---: | ---: | --- | +| NIN | 3.76 | 966,986 | 222.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.270/nin_svhn-0376-1205dc06.pth.log)) | +| ResNet-20 | 3.43 | 272,474 | 41.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.265/resnet20_svhn-0343-8232e6e4.pth.log)) | +| ResNet-56 | 2.75 | 855,770 | 127.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.265/resnet56_svhn-0275-6e08ed92.pth.log)) | +| ResNet-110 | 2.45 | 1,730,714 | 255.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.265/resnet110_svhn-0245-c971f0a3.pth.log)) | +| ResNet-164(BN) | 2.42 | 1,704,154 | 255.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.267/resnet164bn_svhn-0242-54941372.pth.log)) | +| ResNet-272(BN) | 2.43 | 2,816,986 | 420.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.368/resnet272bn_svhn-0243-ab1d7da5.pth.log)) | +| ResNet-542(BN) | 2.34 | 5,599,066 | 833.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.369/resnet542bn_svhn-0234-04396c97.pth.log)) | +| ResNet-1001 | 2.41 | 10,328,602 | 1,536.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.408/resnet1001_svhn-0241-9e3d4bb5.pth.log)) | +| PreResNet-20 | 3.22 | 272,282 | 41.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet20_svhn-0322-c3c00fed.pth.log)) | +| PreResNet-56 | 2.80 | 855,578 | 127.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet56_svhn-0280-b51b4147.pth.log)) | +| PreResNet-110 | 2.79 | 1,730,522 | 255.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet110_svhn-0279-aa49e0a3.pth.log)) | +| PreResNet-164(BN) | 2.58 | 1,703,258 | 255.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet164bn_svhn-0258-94d42de4.pth.log)) | +| PreResNet-272(BN) | 2.34 | 2,816,090 | 420.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.389/preresnet272bn_svhn-0234-c04ef5c2.pth.log)) | +| PreResNet-542(BN) | 2.36 | 5,598,170 | 833.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.391/preresnet542bn_svhn-0236-6bdf9236.pth.log)) | +| ResNeXt-29 (32x4d) | 2.80 | 4,775,754 | 780.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.275/resnext29_32x4d_svhn-0280-e85c5217.pth.log)) | +| ResNeXt-29 (16x64d) | 2.68 | 68,155,210 | 10,709.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.358/resnext29_16x64d_svhn-0268-74332b71.pth.log)) | +| ResNeXt-272 (1x64d) | 2.35 | 44,540,746 | 6,565.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.372/resnext272_1x64d_svhn-0235-ab044846.pth.log)) | +| ResNeXt-272 (2x32d) | 2.44 | 32,928,586 | 4,867.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.375/resnext272_2x32d_svhn-0244-39b8a336.pth.log)) | +| SE-ResNet-20 | 3.23 | 274,847 | 41.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet20_svhn-0323-d77df31c.pth.log)) | +| SE-ResNet-56 | 2.64 | 862,889 | 127.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet56_svhn-0264-93839c76.pth.log)) | +| SE-ResNet-110 | 2.35 | 1,744,952 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet110_svhn-0235-9572ba73.pth.log)) | +| SE-ResNet-164(BN) | 2.45 | 1,906,258 | 256.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet164bn_svhn-0245-af0a90a5.pth.log)) | +| SE-ResNet-272(BN) | 2.38 | 3,153,826 | 422.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.390/seresnet272bn_svhn-0238-0e16bada.pth.log)) | +| SE-ResNet-542(BN) | 2.26 | 6,272,746 | 838.01M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.385/seresnet542bn_svhn-0226-71a8f298.pth.log)) | +| SE-PreResNet-20 | 3.24 | 274,559 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet20_svhn-0324-061daa58.pth.log)) | +| SE-PreResNet-56 | 2.71 | 862,601 | 127.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet56_svhn-0271-c91e922f.pth.log)) | +| SE-PreResNet-110 | 2.59 | 1,744,664 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet110_svhn-0259-556909fd.pth.log)) | +| SE-PreResNet-164(BN) | 2.56 | 1,904,882 | 256.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet164bn_svhn-0256-f8dd4e06.pth.log)) | +| SE-PreResNet-272(BN) | 2.49 | 3,152,450 | 422.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet272bn_svhn-0249-904d74a2.pth.log)) | +| SE-PreResNet-542(BN) | 2.47 | 6,271,370 | 837.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.382/sepreresnet542bn_svhn-0247-318a8325.pth.log)) | +| PyramidNet-110 (a=48) | 2.47 | 1,772,706 | 408.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.281/pyramidnet110_a48_svhn-0247-d48bafbe.pth.log)) | +| PyramidNet-110 (a=84) | 2.43 | 3,904,446 | 778.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.392/pyramidnet110_a84_svhn-0243-971576c6.pth.log)) | +| PyramidNet-110 (a=270) | 2.38 | 28,485,477 | 4,730.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.393/pyramidnet110_a270_svhn-0238-3047a9bb.pth.log)) | +| PyramidNet-164 (a=270, BN) | 2.33 | 27,216,021 | 4,608.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.396/pyramidnet164_a270_bn_svhn-0233-42d4c033.pth.log)) | +| PyramidNet-200 (a=240, BN) | 2.32 | 26,752,702 | 4,563.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.397/pyramidnet200_a240_bn_svhn-0232-f9660c25.pth.log)) | +| PyramidNet-236 (a=220, BN) | 2.35 | 26,969,046 | 4,631.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.398/pyramidnet236_a220_bn_svhn-0235-f74fe248.pth.log)) | +| PyramidNet-272 (a=200, BN) | 2.40 | 26,210,842 | 4,541.36M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.404/pyramidnet272_a200_bn_svhn-0240-96f6e740.pth.log)) | +| DenseNet-40 (k=12) | 3.05 | 599,050 | 210.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.278/densenet40_k12_svhn-0305-ac0de84a.pth.log)) | +| DenseNet-BC-40 (k=12) | 3.20 | 176,122 | 74.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.279/densenet40_k12_bc_svhn-0320-32076052.pth.log)) | +| DenseNet-BC-40 (k=24) | 2.90 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.280/densenet40_k24_bc_svhn-0290-f4440d3b.pth.log)) | +| DenseNet-BC-40 (k=36) | 2.60 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.311/densenet40_k36_bc_svhn-0260-8c7db0a2.pth.log)) | +| DenseNet-100 (k=12) | 2.60 | 4,068,490 | 1,353.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.311/densenet100_k12_svhn-0260-57fde50e.pth.log)) | +| X-DenseNet-BC-40-2 (k=24) | 2.87 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.306/xdensenet40_2_k24_bc_svhn-0287-fd9b6def.pth.log)) | +| X-DenseNet-BC-40-2 (k=36) | 2.74 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.306/xdensenet40_2_k36_bc_svhn-0274-540a69f1.pth.log)) | +| WRN-16-10 | 2.78 | 17,116,634 | 2,414.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.271/wrn16_10_svhn-0278-5ab2a4ed.pth.log)) | +| WRN-28-10 | 2.71 | 36,479,194 | 5,246.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.276/wrn28_10_svhn-0271-d62b6bba.pth.log)) | +| WRN-40-8 | 2.54 | 35,748,314 | 5,176.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.277/wrn40_8_svhn-0254-dee59602.pth.log)) | +| WRN-20-10-1bit | 2.73 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_1bit_svhn-0273-ffe96cb7.pth.log)) | +| WRN-20-10-32bit | 2.59 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_32bit_svhn-0259-ce402a58.pth.log)) | +| RoR-3-56 | 2.69 | 762,746 | 113.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.287/ror3_56_svhn-0269-5a9ad66c.pth.log)) | +| RoR-3-110 | 2.57 | 1,637,690 | 242.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.287/ror3_110_svhn-0257-155380ad.pth.log)) | +| RoR-3-164 | 2.73 | 2,512,634 | 370.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.294/ror3_164_svhn-0273-ff0d9af0.pth.log)) | +| RiR | 2.68 | 9,492,980 | 1,281.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.292/rir_svhn-0268-12fcbd3b.pth.log)) | +| Shake-Shake-ResNet-20-2x16d | 3.17 | 541,082 | 81.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.295/shakeshakeresnet20_2x16d_svhn-0317-a693ec24.pth.log)) | +| Shake-Shake-ResNet-26-2x32d | 2.62 | 2,923,162 | 428.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.295/shakeshakeresnet26_2x32d_svhn-0262-c1b8099e.pth.log)) | +| DIA-ResNet-20 | 3.23 | 286,866 | 41.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet20_svhn-0323-b8ee92c9.pth.log)) | +| DIA-ResNet-56 | 2.68 | 870,162 | 129.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet56_svhn-0268-bd2ec755.pth.log)) | +| DIA-ResNet-110 | 2.47 | 1,745,106 | 264.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet110_svhn-0247-635e42cf.pth.log)) | +| DIA-ResNet-164(BN) | 2.44 | 1,923,002 | 343.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet164bn_svhn-0244-0b8f6713.pth.log)) | +| DIA-PreResNet-20 | 3.03 | 286,674 | 41.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet20_svhn-0303-dc3e3a45.pth.log)) | +| DIA-PreResNet-56 | 2.80 | 869,970 | 129.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet56_svhn-0280-537ebc66.pth.log)) | +| DIA-PreResNet-110 | 2.42 | 1,744,914 | 264.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet110_svhn-0242-a156cfb5.pth.log)) | +| DIA-PreResNet-164(BN) | 2.56 | 1,922,106 | 343.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet164bn_svhn-0256-13404881.pth.log)) | + +### CUB-200-2011 + +| Model | Error, % | Params | FLOPs/2 | Remarks | +| --- | ---: | ---: | ---: | --- | +| ResNet-10 | 27.77 | 5,008,392 | 893.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.335/resnet10_cub-2777-4525b593.pth.log)) | +| ResNet-12 | 27.27 | 5,082,376 | 1,125.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.336/resnet12_cub-2727-c1524883.pth.log)) | +| ResNet-14 | 24.77 | 5,377,800 | 1,357.53M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.337/resnet14_cub-2477-5051bbc6.pth.log)) | +| ResNet-16 | 23.65 | 6,558,472 | 1,588.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.338/resnet16_cub-2365-b831356c.pth.log)) | +| ResNet-18 | 23.33 | 11,279,112 | 1,820.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.344/resnet18_cub-2333-200d8b9c.pth.log)) | +| ResNet-26 | 23.16 | 17,549,832 | 2,746.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.345/resnet26_cub-2316-599ab467.pth.log)) | +| SE-ResNet-10 | 27.72 | 5,052,932 | 893.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet10_cub-2772-f52526ec.pth.log)) | +| SE-ResNet-12 | 26.51 | 5,127,496 | 1,126.17M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet12_cub-2651-5c0e7f83.pth.log)) | +| SE-ResNet-14 | 24.16 | 5,425,104 | 1,357.92M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet14_cub-2416-a4cda901.pth.log)) | +| SE-ResNet-16 | 23.32 | 6,614,240 | 1,589.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet16_cub-2332-43a819b7.pth.log)) | +| SE-ResNet-18 | 23.52 | 11,368,192 | 1,820.47M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet18_cub-2352-414fa277.pth.log)) | +| SE-ResNet-26 | 22.99 | 17,683,452 | 2,747.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet26_cub-2299-5aa0a7d1.pth.log)) | +| MobileNet x1.0 | 23.77 | 3,411,976 | 578.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.346/mobilenet_w1_cub-2377-8428471f.pth.log)) | +| ProxylessNAS Mobile | 22.66 | 3,055,712 | 331.44M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.347/proxylessnas_mobile_cub-2266-e4b5098a.pth.log)) | +| NTS-Net | 12.77 | 28,623,333 | 33,361.79M | From [yangze0930/NTS-Net] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.334/ntsnet_cub-1277-f6f330ab.pth.log)) | + +### Pascal VOC20102 + +| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | ---: | --- | +| PSPNet | ResNet(D)-101b | 98.09 | 81.44 | 65,708,501 | 230,771.01M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_voc-8144-c22f0219.pth.log)) | +| DeepLabv3 | ResNet(D)-101b | 97.95 | 80.24 | 58,754,773 | 47,625.34M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd101b_voc-8024-fd8bf74f.pth.log)) | +| DeepLabv3 | ResNet(D)-152b | 98.11 | 81.20 | 74,398,421 | 59,894.87M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd152b_voc-8120-f2dae198.pth.log)) | +| FCN-8s(d) | ResNet(D)-101b | 97.80 | 80.40 | 52,072,917 | 196,562.96M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd101b_voc-8040-66edc0b0.pth.log)) | + +### ADE20K + +| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | ---: | --- | +| PSPNet | ResNet(D)-50b | 79.37 | 36.87 | 46,782,550 | 162,595.14M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd50b_ade20k-3687-13f22137.pth.log)) | +| PSPNet | ResNet(D)-101b | 79.93 | 37.97 | 65,774,678 | 231,008.79M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_ade20k-3797-115d62bf.pth.log)) | +| DeepLabv3 | ResNet(D)-50b | 79.72 | 37.13 | 39,795,798 | 32,756.18M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd50b_ade20k-3713-bddbb458.pth.log)) | +| DeepLabv3 | ResNet(D)-101b | 80.21 | 37.84 | 58,787,926 | 47,651.23M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd101b_ade20k-3784-977446a5.pth.log)) | +| FCN-8s(d) | ResNet(D)-50b | 76.92 | 33.39 | 33,146,966 | 128,387.08M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd50b_ade20k-3339-e1dad8a1.pth.log)) | +| FCN-8s(d) | ResNet(D)-101b | 79.01 | 35.88 | 52,139,094 | 196,800.73M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd101b_ade20k-3588-30d05ca4.pth.log)) | + +### Cityscapes + +| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | ---: | --- | +| PSPNet | ResNet(D)-101b | 96.17 | 71.72 | 65,707,475 | 230,767.33M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_cityscapes-7172-0a6efb49.pth.log)) | +| ICNet | ResNet(D)-50b | 95.50 | 64.02 | 47,489,184 | 14,253.43M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.457/icnet_resnetd50b_cityscapes-6402-b380f8cc.pth.log)) | +| SINet | - | 94.08 | 61.72 | 119,418 | 1,419.90M | From [clovaai/c3_sinet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.437/sinet_cityscapes-6172-8ecd1414.pth.log)) | +| Fast-SCNN | - | 95.14 | 65.76 | 1,138,051 | 3493.33M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.474/fastscnn_cityscapes-6576-b9859a25.pth.log)) | +| DANet | ResNet(D)-50b | 95.91 | 67.99 | 47,586,427 | 180,397.43M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.468/danet_resnetd50b_cityscapes-6799-c5740c9f.pth.log)) | +| DANet | ResNet(D)-101b | 96.03 | 68.10 | 66,578,555 | 248,811.08M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.468/danet_resnetd101b_cityscapes-6810-f1eeb724.pth.log)) | + +### COCO Semantic Segmentation + +| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | ---: | --- | +| PSPNet | ResNet(D)-101b | 92.05 | 67.41 | 65,708,501 | 230,771.01M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_coco-6741-c8b13be6.pth.log)) | +| DeepLabv3 | ResNet(D)-101b | 92.19 | 67.73 | 58,754,773 | 47,625.34M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd101b_coco-6773-e59c1d8f.pth.log)) | +| DeepLabv3 | ResNet(D)-152b | 92.24 | 68.99 | 74,398,421 | 275,087.91M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd152b_coco-6899-7e946d7a.pth.log)) | +| FCN-8s(d) | ResNet(D)-101b | 91.44 | 60.11 | 52,072,917 | 196,562.96M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd101b_coco-6011-ebe2ad0b.pth.log)) | + +### CelebAMask-HQ + +| Model | Extractor | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | --- | +| BiSeNet | ResNet-18 | 13,300,416 | - | From [zllrunning/face...Torch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.462/bisenet_resnet18_celebamaskhq-0000-98affefd.pth.log)) | + +### COCO Keypoints Detection + +| Model | Extractor | OKS AP, % | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | --- | +| AlphaPose | Fast-SE-ResNet-101b | 74.15/91.59/80.68 | 59,569,873 | 9,553.89M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.454/alphapose_fastseresnet101b_coco-7415-b9e3f64a.pth.log)) | +| SimplePose | ResNet-18 | 66.31/89.20/73.41 | 15,376,721 | 1,799.25M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resnet18_coco-6631-7c3656b3.pth.log)) | +| SimplePose | ResNet-50b | 71.02/91.23/78.57 | 33,999,697 | 4,041.06M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resnet50b_coco-7102-621d2545.pth.log)) | +| SimplePose | ResNet-101b | 72.44/92.18/79.76 | 52,991,825 | 7,685.04M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resnet101b_coco-7244-540c29ec.pth.log)) | +| SimplePose | ResNet-152b | 72.53/92.14/79.61 | 68,635,473 | 11,332.86M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resnet152b_coco-7253-3a358d7d.pth.log)) | +| SimplePose | ResNet(A)-50b | 71.70/91.31/78.66 | 34,018,929 | 4,278.56M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resneta50b_coco-7170-2d973dc5.pth.log)) | +| SimplePose | ResNet(A)-101b | 72.97/92.24/80.81 | 53,011,057 | 7,922.54M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resneta101b_coco-7297-08175610.pth.log)) | +| SimplePose | ResNet(A)-152b | 73.44/92.27/80.72 | 68,654,705 | 11,570.36M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resneta152b_coco-7344-dacb65cf.pth.log)) | +| SimplePose(Mobile) | ResNet-18 | 66.25/89.17/74.32 | 12,858,208 | 1,960.96M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_resnet18_coco-6625-1e27b206.pth.log)) | +| SimplePose(Mobile) | ResNet-50b | 71.10/91.28/78.67 | 25,582,944 | 4,221.30M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_resnet50b_coco-7110-023f910c.pth.log)) | +| SimplePose(Mobile) | 1.0 MobileNet-224 | 64.10/88.06/71.23 | 5,019,744 | 751.36M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_mobilenet_w1_coco-6410-0ca46de0.pth.log)) | +| SimplePose(Mobile) | 1.0 MobileNetV2b-224 | 63.74/88.12/71.06 | 4,102,176 | 495.95M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_mobilenetv2b_w1_coco-6374-94f86097.pth.log)) | +| SimplePose(Mobile) | MobileNetV3 Small 224/1.0 | 54.34/83.67/59.35 | 2,625,088 | 236.51M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_mobilenetv3_small_w1_coco-5434-5cedb749.pth.log)) | +| SimplePose(Mobile) | MobileNetV3 Large 224/1.0 | 63.67/88.91/70.82 | 4,768,336 | 403.97M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_mobilenetv3_large_w1_coco-6367-9515de07.pth.log)) | +| Lightweight OpenPose 2D | MobileNet | 39.99/65.95/40.70 | 4,091,698 | 8,948.96M | From [Daniil-Osokin/lighw...ch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.458/lwopenpose2d_mobilenet_cmupan_coco-3999-a6b9c66b.pth.log)) | +| Lightweight OpenPose 3D | MobileNet | 39.99/65.95/40.70 | 5,085,983 | 11,049.43M | From [Daniil-Osokin/li...3d...ch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.458/lwopenpose3d_mobilenet_cmupan_coco-3999-4c727e1d.pth.log)) | +| IBPPose | - | 64.87/83.62/70.13 | 95,827,784 | 57,195.91M | From [jialee93/Improved...Parts] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.459/ibppose_coco-6487-1958fe10.pth.log)) | + +### Mozilla Common Voice (Corpus 6.1, dev subset) + +Some remarks: +- NR means Noise Reduction. +- LS means trained on LibriSpeech dataset. + +| Model | Lang | WER, % | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | --- | +| Jasper DR 10x5 | En | 21.92 | 332,632,349 | 85,142.96M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/jasperdr10x5_en-2192-c2c00e2c.pth.log)) | +| Jasper DR 10x5 NR | En | 17.92 | 332,632,349 | 85,142.96M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/jasperdr10x5_en_nr-1792-0417568d.pth.log)) | +| QuartzNet 5x5 LS | En | 44.69 | 6,713,181 | 1,717.12M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet5x5_en_ls-4469-45bb0d81.pth.log)) | +| QuartzNet 15x5 | En | 16.79 | 18,924,381 | 4,840.29M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_en-1679-d59dfb8a.pth.log)) | +| QuartzNet 15x5 NR | En | 17.76 | 18,924,381 | 4,840.29M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_en_nr-1776-dfc92f27.pth.log)) | +| QuartzNet 15x5 | De | 11.67 | 18,927,456 | 4,841.08M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_de-1167-fb6c1f37.pth.log)) | +| QuartzNet 15x5 | Fr | 13.88 | 18,938,731 | 4,843.96M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_fr-1388-18af35d6.pth.log)) | +| QuartzNet 15x5 | It | 15.02 | 18,934,631 | 4,842.91M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_it-1502-04cac187.pth.log)) | +| QuartzNet 15x5 | Es | 12.95 | 18,931,556 | 4,842.13M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_es-1295-0e3f57f7.pth.log)) | +| QuartzNet 15x5 | Ca | 8.42 | 18,934,631 | 4,842.91M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_ca-0842-05b4e456.pth.log)) | +| QuartzNet 15x5 | Pl | 13.59 | 18,929,506 | 4,841.60M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_pl-1359-a57dfee4.pth.log)) | +| QuartzNet 15x5 | Ru | 16.48 | 18,930,531 | 4,841.87M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_ru-1648-deaa15ba.pth.log)) | +| QuartzNet 15x5 | Ru/34 | 9.69 | 18,929,506 | 4,841.60M | From [sberdevices/golos] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_ru34-0969-977a0157.pth.log)) | + +[dmlc/gluon-cv]: https://github.com/dmlc/gluon-cv +[tornadomeet/ResNet]: https://github.com/tornadomeet/ResNet +[Cadene/pretrained...pytorch]: https://github.com/Cadene/pretrained-models.pytorch +[ShichenLiu/CondenseNet]: https://github.com/ShichenLiu/CondenseNet +[clavichord93/MENet]: https://github.com/clavichord93/MENet +[clavichord93/FD-MobileNet]: https://github.com/clavichord93/FD-MobileNet +[tensorpack/tensorpack]: https://github.com/tensorpack/tensorpack +[dyhan0920/Pyramid...PyTorch]: https://github.com/dyhan0920/PyramidNet-PyTorch +[zeusees/Mnasnet...Model]: https://github.com/zeusees/Mnasnet-Pretrained-Model +[szagoruyko/diracnets]: https://github.com/szagoruyko/diracnets +[szagoruyko/functional-zoo]: https://github.com/szagoruyko/functional-zoo +[fyu/drn]: https://github.com/fyu/drn +[quark0/darts]: https://github.com/quark0/darts +[soeaver/AirNet-PyTorch]: https://github.com/soeaver/AirNet-PyTorch +[soeaver/mxnet-model]: https://github.com/soeaver/mxnet-model +[Jongchan/attention-module]: https://github.com/Jongchan/attention-module +[XingangPan/IBN-Net]: https://github.com/XingangPan/IBN-Net +[cypw/CRU-Net]: https://github.com/cypw/CRU-Net +[kevin-ssy/FishNet]: https://github.com/kevin-ssy/FishNet +[ucbdrive/dla]: https://github.com/ucbdrive/dla +[sacmehta/ESPNetv2]: https://github.com/sacmehta/ESPNetv2 +[sacmehta/EdgeNets]: https://github.com/sacmehta/EdgeNets +[jhjacobsen/pytorch-i-revnet]: https://github.com/jhjacobsen/pytorch-i-revnet +[wielandbrendel/bag...models]: https://github.com/wielandbrendel/bag-of-local-features-models +[MIT-HAN-LAB/ProxylessNAS]: https://github.com/MIT-HAN-LAB/ProxylessNAS +[yangze0930/NTS-Net]: https://github.com/yangze0930/NTS-Net +[rwightman/pyt...models]: https://github.com/rwightman/pytorch-image-models +[HRNet/HRNet...ation]: https://github.com/HRNet/HRNet-Image-Classification +[stigma0617/VoVNet.pytorch]: https://github.com/stigma0617/VoVNet.pytorch +[PingoLH/Pytorch-HarDNet]: https://github.com/PingoLH/Pytorch-HarDNet +[clovaai/c3_sinet]: https://github.com/clovaai/c3_sinet +[Daniil-Osokin/lighw...ch]: https://github.com/Daniil-Osokin/lightweight-human-pose-estimation.pytorch +[Daniil-Osokin/li...3d...ch]: https://github.com/Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch +[jialee93/Improved...Parts]: https://github.com/jialee93/Improved-Body-Parts +[zllrunning/face...Torch]: https://github.com/zllrunning/face-parsing.PyTorch +[MCG-NKU/SCNet]: https://github.com/MCG-NKU/SCNet +[NVIDIA/NeMo]: https://github.com/NVIDIA/NeMo +[sberdevices/golos]: https://github.com/sberdevices/golos + + + +%package -n python3-pytorchcv +Summary: Image classification and segmentation models for PyTorch +Provides: python-pytorchcv +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-pytorchcv +# Computer vision models on PyTorch + +[](https://pypi.python.org/pypi/pytorchcv) +[](https://pepy.tech/project/pytorchcv) + +This is a collection of image classification, segmentation, detection, and pose estimation models. Many of them are pretrained on +[ImageNet-1K](http://www.image-net.org), [CIFAR-10/100](https://www.cs.toronto.edu/~kriz/cifar.html), +[SVHN](http://ufldl.stanford.edu/housenumbers), [CUB-200-2011](http://www.vision.caltech.edu/visipedia/CUB-200-2011.html), +[Pascal VOC2012](http://host.robots.ox.ac.uk/pascal/VOC/voc2012), [ADE20K](http://groups.csail.mit.edu/vision/datasets/ADE20K), +[Cityscapes](https://www.cityscapes-dataset.com), and [COCO](http://cocodataset.org) datasets and loaded automatically +during use. All pretrained models require the same ordinary normalization. Scripts for training/evaluating/converting +models are in the [`imgclsmob`](https://github.com/osmr/imgclsmob) repo. + +## List of implemented models + +- AlexNet (['One weird trick for parallelizing convolutional neural networks'](https://arxiv.org/abs/1404.5997)) +- ZFNet (['Visualizing and Understanding Convolutional Networks'](https://arxiv.org/abs/1311.2901)) +- VGG/BN-VGG (['Very Deep Convolutional Networks for Large-Scale Image Recognition'](https://arxiv.org/abs/1409.1556)) +- BN-Inception (['Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift'](https://arxiv.org/abs/1502.03167)) +- ResNet (['Deep Residual Learning for Image Recognition'](https://arxiv.org/abs/1512.03385)) +- PreResNet (['Identity Mappings in Deep Residual Networks'](https://arxiv.org/abs/1603.05027)) +- ResNeXt (['Aggregated Residual Transformations for Deep Neural Networks'](http://arxiv.org/abs/1611.05431)) +- SENet/SE-ResNet/SE-PreResNet/SE-ResNeXt (['Squeeze-and-Excitation Networks'](https://arxiv.org/abs/1709.01507)) +- ResNeSt(A) (['ResNeSt: Split-Attention Networks'](https://arxiv.org/abs/2004.08955)) +- IBN-ResNet/IBN-ResNeXt/IBN-DenseNet (['Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net'](https://arxiv.org/abs/1807.09441)) +- AirNet/AirNeXt (['Attention Inspiring Receptive-Fields Network for Learning Invariant Representations'](https://ieeexplore.ieee.org/document/8510896)) +- BAM-ResNet (['BAM: Bottleneck Attention Module'](https://arxiv.org/abs/1807.06514)) +- CBAM-ResNet (['CBAM: Convolutional Block Attention Module'](https://arxiv.org/abs/1807.06521)) +- ResAttNet (['Residual Attention Network for Image Classification'](https://arxiv.org/abs/1704.06904)) +- SKNet (['Selective Kernel Networks'](https://arxiv.org/abs/1903.06586)) +- SCNet (['Improving Convolutional Networks with Self-Calibrated Convolutions'](http://mftp.mmcheng.net/Papers/20cvprSCNet.pdf)) +- RegNet (['Designing Network Design Spaces'](https://arxiv.org/abs/2003.13678)) +- DIA-ResNet (['DIANet: Dense-and-Implicit Attention Network'](https://arxiv.org/abs/1905.10671)) +- PyramidNet (['Deep Pyramidal Residual Networks'](https://arxiv.org/abs/1610.02915)) +- DiracNetV2 (['DiracNets: Training Very Deep Neural Networks Without Skip-Connections'](https://arxiv.org/abs/1706.00388)) +- ShaResNet (['ShaResNet: reducing residual network parameter number by sharing weights'](https://arxiv.org/abs/1702.08782)) +- DenseNet (['Densely Connected Convolutional Networks'](https://arxiv.org/abs/1608.06993)) +- CondenseNet (['CondenseNet: An Efficient DenseNet using Learned Group Convolutions'](https://arxiv.org/abs/1711.09224)) +- SparseNet (['Sparsely Aggregated Convolutional Networks'](https://arxiv.org/abs/1801.05895)) +- PeleeNet (['Pelee: A Real-Time Object Detection System on Mobile Devices'](https://arxiv.org/abs/1804.06882)) +- Oct-ResNet (['Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution'](https://arxiv.org/abs/1904.05049)) +- WRN (['Wide Residual Networks'](https://arxiv.org/abs/1605.07146)) +- WRN-1bit (['Training wide residual networks for deployment using a single bit for each weight'](https://arxiv.org/abs/1802.08530)) +- DRN-C/DRN-D (['Dilated Residual Networks'](https://arxiv.org/abs/1705.09914)) +- DPN (['Dual Path Networks'](https://arxiv.org/abs/1707.01629)) +- DarkNet Ref/Tiny/19 (['Darknet: Open source neural networks in c'](https://github.com/pjreddie/darknet)) +- DarkNet-53 (['YOLOv3: An Incremental Improvement'](https://arxiv.org/abs/1804.02767)) +- ChannelNet (['ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions'](https://arxiv.org/abs/1809.01330)) +- iSQRT-COV-ResNet (['Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization'](https://arxiv.org/abs/1712.01034)) +- RevNet (['The Reversible Residual Network: Backpropagation Without Storing Activations'](https://arxiv.org/abs/1707.04585)) +- i-RevNet (['i-RevNet: Deep Invertible Networks'](https://arxiv.org/abs/1802.07088)) +- BagNet (['Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet'](https://openreview.net/pdf?id=SkfMWhAqYQ)) +- DLA (['Deep Layer Aggregation'](https://arxiv.org/abs/1707.06484)) +- MSDNet (['Multi-Scale Dense Networks for Resource Efficient Image Classification'](https://arxiv.org/abs/1703.09844)) +- FishNet (['FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction'](http://papers.nips.cc/paper/7356-fishnet-a-versatile-backbone-for-image-region-and-pixel-level-prediction.pdf)) +- ESPNetv2 (['ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network'](https://arxiv.org/abs/1811.11431)) +- DiCENet (['DiCENet: Dimension-wise Convolutions for Efficient Networks'](https://arxiv.org/abs/1906.03516)) +- HRNet (['Deep High-Resolution Representation Learning for Visual Recognition'](https://arxiv.org/abs/1908.07919)) +- VoVNet (['An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection'](https://arxiv.org/abs/1904.09730)) +- SelecSLS (['XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera'](https://arxiv.org/abs/1907.00837)) +- HarDNet (['HarDNet: A Low Memory Traffic Network'](https://arxiv.org/abs/1909.00948)) +- X-DenseNet (['Deep Expander Networks: Efficient Deep Networks from Graph Theory'](https://arxiv.org/abs/1711.08757)) +- SqueezeNet/SqueezeResNet (['SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size'](https://arxiv.org/abs/1602.07360)) +- SqueezeNext (['SqueezeNext: Hardware-Aware Neural Network Design'](https://arxiv.org/abs/1803.10615)) +- ShuffleNet (['ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices'](https://arxiv.org/abs/1707.01083)) +- ShuffleNetV2 (['ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design'](https://arxiv.org/abs/1807.11164)) +- MENet (['Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications'](https://arxiv.org/abs/1803.09127)) +- MobileNet (['MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications'](https://arxiv.org/abs/1704.04861)) +- FD-MobileNet (['FD-MobileNet: Improved MobileNet with A Fast Downsampling Strategy'](https://arxiv.org/abs/1802.03750)) +- MobileNetV2 (['MobileNetV2: Inverted Residuals and Linear Bottlenecks'](https://arxiv.org/abs/1801.04381)) +- MobileNetV3 (['Searching for MobileNetV3'](https://arxiv.org/abs/1905.02244)) +- IGCV3 (['IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks'](https://arxiv.org/abs/1806.00178)) +- GhostNet (['GhostNet: More Features from Cheap Operations'](https://arxiv.org/abs/1911.11907)) +- MnasNet (['MnasNet: Platform-Aware Neural Architecture Search for Mobile'](https://arxiv.org/abs/1807.11626)) +- DARTS (['DARTS: Differentiable Architecture Search'](https://arxiv.org/abs/1806.09055)) +- ProxylessNAS (['ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware'](https://arxiv.org/abs/1812.00332)) +- FBNet (['FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search'](https://arxiv.org/abs/1812.03443)) +- Xception (['Xception: Deep Learning with Depthwise Separable Convolutions'](https://arxiv.org/abs/1610.02357)) +- InceptionV3 (['Rethinking the Inception Architecture for Computer Vision'](https://arxiv.org/abs/1512.00567)) +- InceptionV4/InceptionResNetV1/InceptionResNetV2 (['Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning'](https://arxiv.org/abs/1602.07261)) +- PolyNet (['PolyNet: A Pursuit of Structural Diversity in Very Deep Networks'](https://arxiv.org/abs/1611.05725)) +- NASNet (['Learning Transferable Architectures for Scalable Image Recognition'](https://arxiv.org/abs/1707.07012)) +- PNASNet (['Progressive Neural Architecture Search'](https://arxiv.org/abs/1712.00559)) +- SPNASNet (['Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours'](https://arxiv.org/abs/1904.02877)) +- EfficientNet (['EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks'](https://arxiv.org/abs/1905.11946)) +- MixNet (['MixConv: Mixed Depthwise Convolutional Kernels'](https://arxiv.org/abs/1907.09595)) +- NIN (['Network In Network'](https://arxiv.org/abs/1312.4400)) +- RoR-3 (['Residual Networks of Residual Networks: Multilevel Residual Networks'](https://arxiv.org/abs/1608.02908)) +- RiR (['Resnet in Resnet: Generalizing Residual Architectures'](https://arxiv.org/abs/1603.08029)) +- ResDrop-ResNet (['Deep Networks with Stochastic Depth'](https://arxiv.org/abs/1603.09382)) +- Shake-Shake-ResNet (['Shake-Shake regularization'](https://arxiv.org/abs/1705.07485)) +- ShakeDrop-ResNet (['ShakeDrop Regularization for Deep Residual Learning'](https://arxiv.org/abs/1802.02375)) +- FractalNet (['FractalNet: Ultra-Deep Neural Networks without Residuals'](https://arxiv.org/abs/1605.07648)) +- NTS-Net (['Learning to Navigate for Fine-grained Classification'](https://arxiv.org/abs/1809.00287)) +- PSPNet (['Pyramid Scene Parsing Network'](https://arxiv.org/abs/1612.01105)) +- DeepLabv3 (['Rethinking Atrous Convolution for Semantic Image Segmentation'](https://arxiv.org/abs/1706.05587)) +- FCN-8s (['Fully Convolutional Networks for Semantic Segmentation'](https://arxiv.org/abs/1411.4038)) +- ICNet (['ICNet for Real-Time Semantic Segmentation on High-Resolution Images'](https://arxiv.org/abs/1704.08545)) +- Fast-SCNN (['Fast-SCNN: Fast Semantic Segmentation Network'](https://arxiv.org/abs/1902.04502)) +- CGNet (['CGNet: A Light-weight Context Guided Network for Semantic Segmentation'](https://arxiv.org/abs/1811.08201)) +- DABNet (['DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation'](https://arxiv.org/abs/1907.11357)) +- SINet (['SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder'](https://arxiv.org/abs/1911.09099)) +- BiSeNet (['BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation'](https://arxiv.org/abs/1808.00897)) +- DANet (['Dual Attention Network for Scene Segmentation'](https://arxiv.org/abs/1809.02983)) +- FPENet (['Feature Pyramid Encoding Network for Real-time Semantic Segmentation'](https://arxiv.org/abs/1909.08599)) +- ContextNet (['ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time'](https://arxiv.org/abs/1805.04554)) +- LEDNet (['LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation'](https://arxiv.org/abs/1905.02423)) +- ESNet (['ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation'](https://arxiv.org/abs/1906.09826)) +- EDANet (['Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation'](https://arxiv.org/abs/1809.06323)) +- ENet (['ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation'](https://arxiv.org/abs/1606.02147)) +- ERFNet (['ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation'](http://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17tits.pdf)) +- LinkNet (['LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation'](https://arxiv.org/abs/1707.03718)) +- SegNet (['SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation'](https://arxiv.org/abs/1511.00561)) +- U-Net (['U-Net: Convolutional Networks for Biomedical Image Segmentation'](https://arxiv.org/abs/1505.04597)) +- SQNet (['Speeding up Semantic Segmentation for Autonomous Driving'](https://openreview.net/pdf?id=S1uHiFyyg)) +- CenterNet (['Objects as Points'](https://arxiv.org/abs/1904.07850)) +- LFFD (['LFFD: A Light and Fast Face Detector for Edge Devices'](https://arxiv.org/abs/1904.10633)) +- AlphaPose (['RMPE: Regional Multi-person Pose Estimation'](https://arxiv.org/abs/1612.00137)) +- SimplePose (['Simple Baselines for Human Pose Estimation and Tracking'](https://arxiv.org/abs/1804.06208)) +- Lightweight OpenPose (['Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose'](https://arxiv.org/abs/1811.12004)) +- IBPPose (['Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation'](https://arxiv.org/abs/1911.10529)) +- PFPCNet (['Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks'](https://arxiv.org/abs/1609.06536)) +- VOCA (['Capture, Learning, and Synthesis of 3D Speaking Styles'](https://arxiv.org/abs/1905.03079)) +- Neural Voice Puppetry Audio-to-Expression net (['Neural Voice Puppetry: Audio-driven Facial Reenactment'](https://arxiv.org/abs/1912.05566)) +- Jasper/JasperDR (['Jasper: An End-to-End Convolutional Neural Acoustic Model'](https://arxiv.org/abs/1904.03288)) +- QuartzNet (['QuartzNet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions'](https://arxiv.org/abs/1910.10261)) + +## Installation + +To use the models in your project, simply install the `pytorchcv` package with `torch` (>=0.4.1 is recommended): +``` +pip install pytorchcv torch>=0.4.0 +``` +To enable/disable different hardware supports such as GPUs, check out PyTorch installation [instructions](https://pytorch.org). + +## Usage + +Example of using a pretrained ResNet-18 model: +``` +from pytorchcv.model_provider import get_model as ptcv_get_model +import torch +from torch.autograd import Variable + +net = ptcv_get_model("resnet18", pretrained=True) +x = Variable(torch.randn(1, 3, 224, 224)) +y = net(x) +``` + +## Pretrained models + +### ImageNet-1K + +Some remarks: +- Top1/Top5 are the standard 1-crop Top-1/Top-5 errors (in percents) on the validation subset of the ImageNet-1K dataset. +- FLOPs/2 is the number of FLOPs divided by two to be similar to the number of MACs. +- Remark `Converted from GL model` means that the model was trained on `MXNet/Gluon` and then converted to PyTorch. +- You may notice that quality estimations are quite different from ones for the corresponding models in other frameworks. This +is due to the fact that the quality is estimated on the standard TorchVision stack of image transformations. Using +OpenCV `Resize` transformation instead of PIL one quality evaluation results will be similar to ones for the Gluon models. +- ResNet(A) is an average downsampled ResNet intended for use as an feature extractor in some pose estimation networks. +- ResNet(D) is a dilated ResNet intended for use as an feature extractor in some segmentation networks. +- Models with *-suffix use non-standard preprocessing (see the training log). + +| Model | Top1 | Top5 | Params | FLOPs/2 | Remarks | +| --- | ---: | ---: | ---: | ---: | --- | +| AlexNet | 38.50 | 16.64 | 62,378,344 | 1,132.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/alexnet-1664-2768cdb3.pth.log)) | +| AlexNet-b | 39.74 | 17.47 | 61,100,840 | 714.83M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.485/alexnetb-1747-ac887bf7.pth.log)) | +| ZFNet | 39.79 | 17.27 | 62,357,608 | 1,170.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.395/zfnet-1727-d010ddca.pth.log)) | +| ZFNet-b | 36.37 | 14.90 | 107,627,624 | 2,479.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.400/zfnetb-1490-f6bec24e.pth.log)) | +| VGG-11 | 29.90 | 10.36 | 132,863,336 | 7,615.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.381/vgg11-1036-71e85f6e.pth.log)) | +| VGG-13 | 28.76 | 9.75 | 133,047,848 | 11,317.65M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.388/vgg13-0975-2b2c8770.pth.log)) | +| VGG-16 | 26.98 | 8.65 | 138,357,544 | 15,480.10M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.401/vgg16-0865-5ca155da.pth.log)) | +| VGG-19 | 25.74 | 7.90 | 143,667,240 | 19,642.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.420/vgg19-0790-9bd923a8.pth.log)) | +| BN-VGG-11 | 29.01 | 9.61 | 132,866,088 | 7,630.21M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.339/bn_vgg11-0961-10f01fba.pth.log)) | +| BN-VGG-13 | 27.83 | 9.13 | 133,050,792 | 11,341.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.353/bn_vgg13-0913-b1acd715.pth.log)) | +| BN-VGG-16 | 25.72 | 7.79 | 138,361,768 | 15,506.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.359/bn_vgg16-0779-0f570b92.pth.log)) | +| BN-VGG-19 | 24.13 | 7.12 | 143,672,744 | 19,671.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.360/bn_vgg19-0712-3f286cbd.pth.log)) | +| BN-VGG-11b | 29.56 | 9.96 | 132,868,840 | 7,630.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.407/bn_vgg11b-0996-ef747edc.pth.log)) | +| BN-VGG-13b | 28.47 | 9.24 | 133,053,736 | 11,342.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.488/bn_vgg13b-0924-5f313c53.pth.log)) | +| BN-VGG-16b | 25.97 | 7.95 | 138,365,992 | 15,507.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/bn_vgg16b-0795-bfff365a.pth.log)) | +| BN-VGG-19b | 25.13 | 7.46 | 143,678,248 | 19,672.26M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.490/bn_vgg19b-0746-f523b4e4.pth.log)) | +| BN-Inception | 25.37 | 7.74 | 11,295,240 | 2,048.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.405/bninception-0774-d79ba5f5.pth.log)) | +| ResNet-10 | 32.76 | 12.93 | 5,418,792 | 894.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/resnet10-1293-cedc302c.pth.log)) | +| ResNet-12 | 32.10 | 12.23 | 5,492,776 | 1,126.25M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.485/resnet12-1223-84a43cf6.pth.log)) | +| ResNet-14 | 30.51 | 11.09 | 5,788,200 | 1,357.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.491/resnet14-1109-b3132cbf.pth.log)) | +| ResNet-BC-14b | 29.43 | 10.74 | 10,064,936 | 1,479.12M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/resnetbc14b-1074-14b1fd95.pth.log)) | +| ResNet-16 | 28.74 | 10.09 | 6,968,872 | 1,589.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/resnet16-1009-4352d6a9.pth.log)) | +| ResNet-18 x0.25 | 39.62 | 17.85 | 3,937,400 | 270.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.262/resnet18_wd4-1785-fe79b31f.pth.log)) | +| ResNet-18 x0.5 | 33.80 | 13.27 | 5,804,296 | 608.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.263/resnet18_wd2-1327-6654f50a.pth.log)) | +| ResNet-18 x0.75 | 30.40 | 11.06 | 8,476,056 | 1,129.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.266/resnet18_w3d4-1106-3636648b.pth.log)) | +| ResNet-18 | 26.94 | 8.96 | 11,689,512 | 1,820.41M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.478/resnet18-0896-77a56f15.pth.log)) | +| ResNet-26 | 26.16 | 8.49 | 17,960,232 | 2,746.79M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/resnet26-0849-4bfbc640.pth.log)) | +| ResNet-BC-26b | 25.09 | 7.97 | 15,995,176 | 2,356.67M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.313/resnetbc26b-0797-7af52a73.pth.log)) | +| ResNet-34 | 24.84 | 7.80 | 21,797,672 | 3,672.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.291/resnet34-0780-3f775482.pth.log)) | +| ResNet-BC-38b | 23.69 | 7.00 | 21,925,416 | 3,234.21M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.328/resnetbc38b-0700-3fbac61d.pth.log)) | +| ResNet-50 | 22.28 | 6.33 | 25,557,032 | 3,877.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.329/resnet50-0633-b00d1c8e.pth.log)) | +| ResNet-50b | 22.39 | 6.38 | 25,557,032 | 4,110.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.308/resnet50b-0638-8a5473ef.pth.log)) | +| ResNet-101 | 20.79 | 5.40 | 44,549,160 | 7,597.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/resnet101-0540-65faf447.pth.log)) | +| ResNet-101b | 20.59 | 5.30 | 44,549,160 | 7,830.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.357/resnet101b-0530-f059ba3c.pth.log)) | +| ResNet-152 | 19.29 | 4.68 | 60,192,808 | 11,321.85M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.518/resnet152-0468-d46977dd.pth.log)) | +| ResNet-152b | 19.01 | 4.45 | 60,192,808 | 11,554.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.517/resnet152b-0445-2f420307.pth.log)) | +| PreResNet-10 | 35.11 | 14.21 | 5,417,128 | 894.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.249/preresnet10-1421-b3973cd4.pth.log)) | +| PreResNet-12 | 33.86 | 13.48 | 5,491,112 | 1,126.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.257/preresnet12-1348-563066fa.pth.log)) | +| PreResNet-14 | 32.64 | 12.39 | 5,786,536 | 1,358.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.260/preresnet14-1239-4be725fd.pth.log)) | +| PreResNet-BC-14b | 31.29 | 11.81 | 10,057,384 | 1,476.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.315/preresnetbc14b-1181-a68d31c3.pth.log)) | +| PreResNet-16 | 30.53 | 11.08 | 6,967,208 | 1,589.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.261/preresnet16-1108-06d8c87e.pth.log)) | +| PreResNet-18 x0.25 | 40.06 | 18.11 | 3,935,960 | 270.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.272/preresnet18_wd4-1811-41135c15.pth.log)) | +| PreResNet-18 x0.5 | 34.00 | 13.40 | 5,802,440 | 608.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.273/preresnet18_wd2-1340-c1fe4e31.pth.log)) | +| PreResNet-18 x0.75 | 30.23 | 11.05 | 8,473,784 | 1,129.51M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.274/preresnet18_w3d4-1105-ed2f9ca4.pth.log)) | +| PreResNet-18 | 28.43 | 9.72 | 11,687,848 | 1,820.56M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.140/preresnet18-0972-5651bc2d.pth.log)) | +| PreResNet-26 | 26.33 | 8.51 | 17,958,568 | 2,746.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.316/preresnet26-0851-99e7d6cc.pth.log)) | +| PreResNet-BC-26b | 25.48 | 8.03 | 15,987,624 | 2,354.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.325/preresnetbc26b-0803-d7283bdd.pth.log)) | +| PreResNet-34 | 24.89 | 7.74 | 21,796,008 | 3,672.83M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.300/preresnet34-0774-fd5bd1e8.pth.log)) | +| PreResNet-BC-38b | 22.92 | 6.57 | 21,917,864 | 3,231.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.348/preresnetbc38b-0657-9e523bb9.pth.log)) | +| PreResNet-50 | 22.40 | 6.47 | 25,549,480 | 3,875.44M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.330/preresnet50-0647-222ca73b.pth.log)) | +| PreResNet-50b | 22.51 | 6.55 | 25,549,480 | 4,107.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.307/preresnet50b-0655-8b60378e.pth.log)) | +| PreResNet-101 | 20.81 | 5.63 | 44,541,608 | 7,595.44M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.504/preresnet101-0563-8ec82f7d.pth.log)) | +| PreResNet-101b | 21.04 | 5.56 | 44,541,608 | 7,827.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.351/preresnet101b-0556-76bfe6d0.pth.log)) | +| PreResNet-152 | 19.36 | 4.64 | 60,185,256 | 11,319.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.510/preresnet152-0464-baeb6c52.pth.log)) | +| PreResNet-152b | 19.23 | 4.59 | 60,185,256 | 11,551.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.523/preresnet152b-0459-42c9fbcf.pth.log)) | +| PreResNet-200b | 19.07 | 4.68 | 64,666,280 | 15,068.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.529/preresnet200b-0468-f82215f3.pth.log)) | +| PreResNet-269b | 20.35 | 5.27 | 102,065,832 | 20,101.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.545/preresnet269b-0527-f38eca01.pth.log)) | +| ResNeXt-14 (16x4d) | 31.94 | 12.48 | 7,127,336 | 1,045.77M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.370/resnext14_16x4d-1248-35ffac2a.pth.log)) | +| ResNeXt-14 (32x2d) | 32.58 | 12.81 | 7,029,416 | 1,031.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.371/resnext14_32x2d-1281-14521186.pth.log)) | +| ResNeXt-14 (32x4d) | 30.32 | 11.46 | 9,411,880 | 1,603.46M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.327/resnext14_32x4d-1146-89aa6793.pth.log)) | +| ResNeXt-26 (32x2d) | 26.63 | 8.87 | 9,924,136 | 1,461.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.373/resnext26_32x2d-0887-c3bd1307.pth.log)) | +| ResNeXt-26 (32x4d) | 24.14 | 7.46 | 15,389,480 | 2,488.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.332/resnext26_32x4d-0746-1011ac35.pth.log)) | +| ResNeXt-50 (32x4d) | 21.08 | 5.60 | 25,028,904 | 4,255.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.498/resnext50_32x4d-0560-d7976503.pth.log)) | +| ResNeXt-101 (32x4d) | 18.78 | 4.34 | 44,177,704 | 8,003.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/resnext101_32x4d-0434-5ac16598.pth.log)) | +| ResNeXt-101 (64x4d) | 19.08 | 4.52 | 83,455,272 | 15,500.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.544/resnext101_64x4d-0452-60d1913e.pth.log)) | +| SE-ResNet-10 | 31.76 | 12.02 | 5,463,332 | 894.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/seresnet10-1202-8dace12e.pth.log)) | +| SE-ResNet-12 | 31.93 | 12.00 | 5,537,896 | 1,126.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.544/seresnet12-1200-81d5406e.pth.log)) | +| SE-ResNet-14 | 30.73 | 11.28 | 5,835,504 | 1,358.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.545/seresnet14-1128-2afa45c6.pth.log)) | +| SE-ResNet-16 | 28.72 | 9.98 | 7,024,640 | 1,589.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.545/seresnet16-0998-e2c666dd.pth.log)) | +| SE-ResNet-18 | 28.18 | 9.61 | 11,778,592 | 1,820.88M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.355/seresnet18-0961-022123a5.pth.log)) | +| SE-ResNet-26 | 25.67 | 8.24 | 18,093,852 | 2,747.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.363/seresnet26-0824-64fc8759.pth.log)) | +| SE-ResNet-BC-26b | 23.59 | 7.03 | 17,395,976 | 2,359.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.366/seresnetbc26b-0703-b98d9d6a.pth.log)) | +| SE-ResNet-BC-38b | 21.60 | 5.95 | 24,026,616 | 3,238.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.374/seresnetbc38b-0595-03671c05.pth.log)) | +| SE-ResNet-50 | 21.22 | 5.75 | 28,088,024 | 3,883.25M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.441/seresnet50-0575-004bfde4.pth.log)) | +| SE-ResNet-50b | 20.79 | 5.39 | 28,088,024 | 4,115.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.387/seresnet50b-0539-459e6871.pth.log)) | +| SE-ResNet-101 | 19.24 | 4.60 | 49,326,872 | 7,602.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.533/seresnet101-0460-37851448.pth.log)) | +| SE-ResNet-101b | 19.70 | 4.87 | 49,326,872 | 7,839.75M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.460/seresnet101b-0487-b83a20fd.pth.log)) | +| SE-ResNet-152 | 18.72 | 4.39 | 66,821,848 | 11,328.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.538/seresnet152-0439-7a6b02ac.pth.log)) | +| SE-PreResNet-10 | 32.83 | 12.57 | 5,461,668 | 894.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.544/sepreresnet10-1257-a08d5c61.pth.log)) | +| SE-PreResNet-12 | 32.07 | 12.03 | 5,536,232 | 1,126.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/sepreresnet12-1203-4f8d63e2.pth.log)) | +| SE-PreResNet-16 | 28.77 | 9.75 | 7,022,976 | 1,589.91M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/sepreresnet16-0975-251c11a4.pth.log)) | +| SE-PreResNet-18 | 27.43 | 9.09 | 11,776,928 | 1,821.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/sepreresnet18-0909-cd3cc116.pth.log)) | +| SE-PreResNet-26 | 26.20 | 8.22 | 18,092,188 | 2,747.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/sepreresnet26-0822-2c73c690.pth.log)) | +| SE-PreResNet-BC-26b | 23.22 | 6.60 | 17,388,424 | 2,357.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.399/sepreresnetbc26b-0660-f750b2f5.pth.log)) | +| SE-PreResNet-BC-38b | 21.60 | 5.78 | 24,019,064 | 3,236.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.409/sepreresnetbc38b-0578-12827fcd.pth.log)) | +| SE-PreResNet-50b | 20.85 | 5.49 | 28,080,472 | 4,113.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.461/sepreresnet50b-0549-4628a07d.pth.log)) | +| SE-ResNeXt-50 (32x4d) | 18.94 | 4.51 | 27,559,896 | 4,261.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/seresnext50_32x4d-0451-52029a7f.pth.log)) | +| SE-ResNeXt-101 (32x4d) | 19.36 | 4.67 | 48,955,416 | 8,012.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.529/seresnext101_32x4d-0467-c738e758.pth.log)) | +| SE-ResNeXt-101 (64x4d) | 18.66 | 4.28 | 88,232,984 | 15,509.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.561/seresnext101_64x4d-0428-ea9d98df.pth.log)) | +| SENet-16 | 25.65 | 8.20 | 31,366,168 | 5,081.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.341/senet16-0820-373aeafd.pth.log)) | +| SENet-28 | 21.94 | 5.98 | 36,453,768 | 5,732.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.356/senet28-0598-27165b63.pth.log)) | +| SENet-154 | 18.85 | 4.55 | 115,088,984 | 20,745.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.522/senet154-0455-95dbccbe.pth.log)) | +| ResNeSt(A)-BC-14 | 22.46 | 6.47 | 10,611,688 | 2,767.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/resnestabc14-0647-0c3d9e34.pth.log)) | +| ResNeSt(A)-18 | 23.68 | 7.07 | 12,763,784 | 2,587.50M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/resnesta18-0707-efca5a69.pth.log)) | +| ResNeSt(A)-BC-26 | 19.56 | 4.76 | 17,069,448 | 3,646.57M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/resnestabc26-0476-7d97b206.pth.log)) | +| ResNeSt(A)-50 | 19.00 | 4.49 | 27,483,240 | 5,403.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.531/resnesta50-0449-8ebaf2c7.pth.log)) | +| ResNeSt(A)-101 | 17.83 | 4.03 | 48,275,016 | 10,247.88M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta101-0403-61e14773.pth.log)) | +| ResNeSt(A)-152 | 18.87 | 4.63 | 65,316,040 | 13,976.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.540/resnesta152-0463-42e22fed.pth.log)) | +| ResNeSt(A)-200 | 16.87 | 3.39 | 70,201,544 | 22,857.88M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta200-0339-6dc30087.pth.log)) | +| ResNeSt(A)-269 | 16.47 | 3.38 | 110,929,480 | 46,012.95M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta269-0338-6a555ce8.pth.log)) | +| IBN-ResNet-50 | 21.61 | 5.76 | 25,557,032 | 4,110.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/ibn_resnet50-0576-40c420fc.pth.log)) | +| IBN-ResNet-101 | 19.97 | 5.07 | 44,549,160 | 7,830.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.552/ibn_resnet101-0507-6f488f24.pth.log)) | +| IBN(b)-ResNet-50 | 21.79 | 5.97 | 25,558,568 | 4,112.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.552/ibnb_resnet50-0597-383b4432.pth.log)) | +| IBN-ResNeXt-101 (32x4d) | 20.10 | 5.12 | 44,177,704 | 8,003.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.553/ibn_resnext101_32x4d-0512-73534cc4.pth.log)) | +| IBN-DenseNet-121 | 23.58 | 6.73 | 7,978,856 | 2,872.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/ibn_densenet121-0673-0ea2c535.pth.log)) | +| IBN-DenseNet-169 | 22.42 | 6.19 | 14,149,480 | 3,403.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.500/ibn_densenet169-0619-ec2c0556.pth.log)) | +| AirNet50-1x64d (r=2) | 20.63 | 5.32 | 27,425,864 | 4,772.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.522/airnet50_1x64d_r2-0532-398445f4.pth.log)) | +| AirNet50-1x64d (r=16) | 21.24 | 5.60 | 25,714,952 | 4,399.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.519/airnet50_1x64d_r16-0560-d46d344b.pth.log)) | +| AirNeXt50-32x4d (r=2) | 20.14 | 5.15 | 27,604,296 | 5,339.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.521/airnext50_32x4d_r2-0515-85f13273.pth.log)) | +| BAM-ResNet-50 | 20.91 | 5.47 | 25,915,099 | 4,196.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/bam_resnet50-0547-a04adf3c.pth.log)) | +| CBAM-ResNet-50 | 20.17 | 5.05 | 28,089,624 | 4,116.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.537/cbam_resnet50-0505-d8cf8488.pth.log)) | +| SCNet-50 | 21.22 | 5.47 | 25,564,584 | 3,951.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/scnet50-0547-18741240.pth.log)) | +| SCNet-101 | 19.91 | 4.84 | 44,565,416 | 7,204.24M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.507/scnet101-0484-13801569.pth.log)) | +| SCNet(A)-50 | 19.53 | 4.68 | 25,583,816 | 4,715.84M | From [MCG-NKU/SCNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.472/scneta50-0468-eb3c25d6.pth.log)) | +| RegNetX-200MF | 30.20 | 10.66 | 2,684,792 | 203.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.475/regnetx002-1066-e389d6ce.pth.log)) | +| RegNetX-400MF | 26.44 | 8.66 | 5,157,512 | 403.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.479/regnetx004-0866-9584cc0b.pth.log)) | +| RegNetX-600MF | 24.96 | 7.91 | 6,196,040 | 608.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.482/regnetx006-0791-30ca597a.pth.log)) | +| RegNetX-800MF | 24.21 | 7.40 | 7,259,656 | 809.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.482/regnetx008-0740-157abf5e.pth.log)) | +| RegNetX-1.6GF | 22.44 | 6.37 | 9,190,136 | 1,618.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/regnetx016-0637-6de8a97b.pth.log)) | +| RegNetX-3.2GF | 21.48 | 5.92 | 15,296,552 | 3,199.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.492/regnetx032-0592-75dc82ab.pth.log)) | +| RegNetX-4.0GF | 19.69 | 4.88 | 22,118,248 | 3,986.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/regnetx040-0488-b891108c.pth.log)) | +| RegNetX-6.4GF | 19.50 | 4.68 | 26,209,256 | 6,491.01M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.535/regnetx064-0468-bea758f9.pth.log)) | +| RegNetX-8.0GF | 19.75 | 4.86 | 39,572,648 | 8,017.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.515/regnetx080-0486-1d94db03.pth.log)) | +| RegNetX-12GF | 20.02 | 5.32 | 46,106,056 | 12,124.22M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.542/regnetx120-0532-a93ee3a7.pth.log)) | +| RegNetX-16GF | 19.29 | 4.77 | 54,278,536 | 15,986.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.532/regnetx160-0477-bd9f3534.pth.log)) | +| RegNetX-32GF | 18.00 | 4.13 | 107,811,560 | 31,790.24M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.548/regnetx320-0413-34bc3cd2.pth.log)) | +| RegNetY-200MF | 28.66 | 9.80 | 3,162,996 | 203.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.476/regnety002-0980-57f04168.pth.log)) | +| RegNetY-400MF | 25.02 | 7.69 | 4,344,144 | 410.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/regnety004-0769-8c36573f.pth.log)) | +| RegNetY-600MF | 23.79 | 7.12 | 6,055,160 | 610.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/regnety006-0712-d6401a37.pth.log)) | +| RegNetY-800MF | 22.67 | 6.60 | 6,263,168 | 808.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/regnety008-0660-ed298c23.pth.log)) | +| RegNetY-1.6GF | 21.41 | 5.81 | 11,202,430 | 1,629.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/regnety016-0581-b45eccd6.pth.log)) | +| RegNetY-3.2GF | 18.04 | 4.04 | 19,436,338 | 3,199.15M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnety032-0404-cb331486.pth.log)) | +| RegNetY-4.0GF | 19.56 | 4.70 | 20,646,656 | 3,999.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.494/regnety040-0470-052d7681.pth.log)) | +| RegNetY-6.4GF | 19.03 | 4.56 | 30,583,252 | 6,388.91M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.513/regnety064-0456-bff39135.pth.log)) | +| RegNetY-8.0GF | 18.91 | 4.48 | 39,180,068 | 7,996.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.516/regnety080-0448-c084bf6a.pth.log)) | +| RegNetY-12GF | 18.67 | 4.42 | 51,822,544 | 12,132.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.526/regnety120-0442-bf259560.pth.log)) | +| RegNetY-16GF | 18.82 | 4.44 | 83,590,140 | 15,944.53M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.527/regnety160-0444-e7e05d91.pth.log)) | +| RegNetY-32GF | 17.92 | 3.83 | 145,046,770 | 32,317.66M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.550/regnety320-0383-a8b16205.pth.log)) | +| PyramidNet-101 (a=360) | 20.53 | 5.43 | 42,455,070 | 8,743.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.507/pyramidnet101_a360-0543-7f1747f8.pth.log)) | +| DiracNetV2-18 | 31.47 | 11.70 | 11,511,784 | 1,796.62M | From [szagoruyko/diracnets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.111/diracnet18v2-1170-e0673770.pth.log)) | +| DiracNetV2-34 | 28.75 | 9.93 | 21,616,232 | 3,646.93M | From [szagoruyko/diracnets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.111/diracnet34v2-0993-a6a661c0.pth.log)) | +| DenseNet-121 | 23.48 | 7.04 | 7,978,856 | 2,872.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.314/densenet121-0704-cf90d139.pth.log)) | +| DenseNet-161 | 21.91 | 6.06 | 28,681,000 | 7,793.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.432/densenet161-0606-da489277.pth.log)) | +| DenseNet-169 | 22.42 | 6.29 | 14,149,480 | 3,403.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.406/densenet169-0629-44974a17.pth.log)) | +| DenseNet-201 | 21.78 | 6.12 | 20,013,928 | 4,347.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.426/densenet201-0612-6adc8625.pth.log)) | +| CondenseNet-74 (C=G=4) | 26.25 | 8.28 | 4,773,944 | 546.06M | From [ShichenLiu/CondenseNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.4/condensenet74_c4_g4-0828-5ba55049.pth.log)) | +| CondenseNet-74 (C=G=8) | 28.93 | 10.06 | 2,935,416 | 291.52M | From [ShichenLiu/CondenseNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.4/condensenet74_c8_g8-1006-3574d874.pth.log)) | +| PeleeNet | 29.41 | 10.04 | 2,802,248 | 514.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.496/peleenet-1004-5107a95d.pth.log)) | +| WRN-50-2 | 22.25 | 6.26 | 68,849,128 | 11,405.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.520/wrn50_2-0626-1e67b96c.pth.log)) | +| DRN-C-26 | 24.61 | 7.23 | 21,126,584 | 16,993.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.508/drnc26-0723-e7306483.pth.log)) | +| DRN-C-42 | 22.37 | 6.28 | 31,234,744 | 25,093.75M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.556/drnc42-0628-8817241f.pth.log)) | +| DRN-C-58 | 20.65 | 5.27 | 40,542,008 | 32,489.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.559/drnc58-0527-3f74be98.pth.log)) | +| DRN-D-22 | 24.86 | 7.58 | 16,393,752 | 13,051.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.498/drnd22-0758-02cb44bd.pth.log)) | +| DRN-D-38 | 22.94 | 6.43 | 26,501,912 | 21,151.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.552/drnd38-0643-496f648b.pth.log)) | +| DRN-D-54 | 20.40 | 5.17 | 35,809,176 | 28,547.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.554/drnd54-0517-caa3c85d.pth.log)) | +| DRN-D-105 | 20.62 | 5.48 | 54,801,304 | 43,442.43M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnd105-0548-a643f4dc.pth.log)) | +| DPN-68 | 23.24 | 6.79 | 12,611,602 | 2,351.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.310/dpn68-0679-a33c98c7.pth.log)) | +| DPN-98 | 18.44 | 4.30 | 61,570,728 | 11,716.51M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.540/dpn98-0430-50ff8ef6.pth.log)) | +| DPN-131 | 19.62 | 5.03 | 79,254,504 | 16,076.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.534/dpn131-0503-1765c5ee.pth.log)) | +| DarkNet Tiny | 40.74 | 17.84 | 1,042,104 | 500.85M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.69/darknet_tiny-1784-4561e1ad.pth.log)) | +| DarkNet Ref | 38.58 | 17.18 | 7,319,416 | 367.59M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.64/darknet_ref-1718-034595b4.pth.log)) | +| DarkNet-53 | 21.33 | 5.58 | 41,609,928 | 7,133.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.501/darknet53-0558-8be575a0.pth.log)) | +| i-RevNet-301 | 25.98 | 8.41 | 125,120,356 | 14,453.87M | From [jhjacobsen/pytorch-i-revnet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.251/irevnet301-0841-95dc8d94.pth.log)) | +| BagNet-9 | 49.15 | 25.76 | 15,688,744 | 16,049.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.553/bagnet9-2576-36d935e1.pth.log)) | +| BagNet-17 | 36.88 | 15.51 | 16,213,032 | 15,768.77M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.558/bagnet17-1551-04da269c.pth.log)) | +| BagNet-33 | 29.82 | 10.70 | 18,310,184 | 16,371.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.561/bagnet33-1070-7d16b6f4.pth.log)) | +| DLA-34 | 24.59 | 7.24 | 15,742,104 | 3,071.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/dla34-0724-649c67e6.pth.log)) | +| DLA-46-C | 34.28 | 13.23 | 1,301,400 | 585.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.282/dla46c-1323-efcd3636.pth.log)) | +| DLA-X-46-C | 33.26 | 12.69 | 1,068,440 | 546.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.293/dla46xc-1269-00d3754a.pth.log)) | +| DLA-60 | 21.47 | 5.70 | 22,036,632 | 4,255.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.494/dla60-0570-f8ea80aa.pth.log)) | +| DLA-X-60 | 21.07 | 5.75 | 17,352,344 | 3,543.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/dla60x-0575-fae6dc6d.pth.log)) | +| DLA-X-60-C | 30.98 | 10.91 | 1,319,832 | 596.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.289/dla60xc-1091-0f6381f3.pth.log)) | +| DLA-102 | 20.69 | 5.37 | 33,268,888 | 7,190.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/dla102-0537-fdabf0c3.pth.log)) | +| DLA-X-102 | 19.70 | 4.88 | 26,309,272 | 5,884.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.528/dla102x-0488-b1727759.pth.log)) | +| DLA-X2-102 | 18.84 | 4.37 | 41,282,200 | 9,340.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.542/dla102x2-0437-8922a457.pth.log)) | +| DLA-169 | 19.39 | 4.71 | 53,389,720 | 11,593.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.539/dla169-0471-402f95f0.pth.log)) | +| FishNet-150 | 19.26 | 4.75 | 24,959,400 | 6,435.05M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.502/fishnet150-0475-93e26daa.pth.log)) | +| ESPNetv2 x0.5 | 42.32 | 20.15 | 1,241,332 | 35.36M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_wd2-2015-d234781f.pth.log)) | +| ESPNetv2 x1.0 | 33.92 | 13.45 | 1,670,072 | 98.09M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w1-1345-550d5422.pth.log)) | +| ESPNetv2 x1.25 | 32.06 | 12.18 | 1,965,440 | 138.18M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w5d4-1218-85d97b2b.pth.log)) | +| ESPNetv2 x1.5 | 30.83 | 11.29 | 2,314,856 | 185.77M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w3d2-1129-3bbb49ad.pth.log)) | +| ESPNetv2 x2.0 | 27.94 | 9.61 | 3,498,136 | 306.93M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w2-0961-13ba0f72.pth.log)) | +| DiCENet x0.2 | 53.91 | 29.38 | 1,130,704 | 18.76M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_wd5-2938-2d721aa1.pth.log)) | +| DiCENet x0.5 | 46.16 | 22.58 | 1,214,120 | 30.48M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_wd2-2258-4f35289a.pth.log)) | +| DiCENet x0.75 | 37.06 | 15.74 | 1,495,676 | 55.80M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w3d4-1574-29d7d14f.pth.log)) | +| DiCENet x1.0 | 33.59 | 13.25 | 1,805,604 | 82.17M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w1-1325-d3648c4c.pth.log)) | +| DiCENet x1.25 | 32.26 | 12.40 | 2,162,888 | 111.87M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w5d4-1240-8c4dd6f6.pth.log)) | +| DiCENet x1.5 | 30.55 | 11.23 | 2,652,200 | 151.81M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w3d2-1123-e5c5db64.pth.log)) | +| DiCENet x1.75 | 29.76 | 10.62 | 3,264,932 | 201.26M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w7d8-1062-8b599d46.pth.log)) | +| DiCENet x2.0 | 28.95 | 10.19 | 3,979,044 | 257.95M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w2-1019-44e2153f.pth.log)) | +| HRNet-W18 Small V1 | 26.48 | 9.01 | 13,187,464 | 1,615.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.492/hrnet_w18_small_v1-0901-30023064.pth.log)) | +| HRNet-W18 Small V2 | 21.93 | 6.18 | 15,597,464 | 2,618.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/hrnet_w18_small_v2-0618-ef7b1fe4.pth.log)) | +| HRNetV2-W18 | 20.20 | 5.12 | 21,299,004 | 4,323.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.508/hrnetv2_w18-0512-9d2b7fbf.pth.log)) | +| HRNetV2-W30 | 20.35 | 5.21 | 37,712,220 | 8,156.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.525/hrnetv2_w30-0521-73d7e48d.pth.log)) | +| HRNetV2-W32 | 19.96 | 5.06 | 41,232,680 | 8,974.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.528/hrnetv2_w32-0506-4aaf8a21.pth.log)) | +| HRNetV2-W40 | 19.84 | 4.93 | 57,557,160 | 12,752.26M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.534/hrnetv2_w40-0493-6f6d22d3.pth.log)) | +| HRNetV2-W44 | 19.74 | 5.01 | 67,064,984 | 14,946.96M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.541/hrnetv2_w44-0501-ec40e545.pth.log)) | +| HRNetV2-W48 | 19.67 | 5.00 | 77,469,864 | 17,345.39M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.541/hrnetv2_w48-0500-0554b840.pth.log)) | +| HRNetV2-W64 | 19.67 | 4.87 | 128,059,944 | 28,976.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/hrnetv2_w64-0487-108e78b1.pth.log)) | +| VoVNet-27-slim | 29.78 | 9.97 | 3,525,736 | 2,187.25M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.551/vovnet27s-0997-b7a5bf67.pth.log)) | +| VoVNet-39 | 21.71 | 5.64 | 22,600,296 | 7,086.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/vovnet39-0564-63bfa613.pth.log)) | +| VoVNet-57 | 20.33 | 5.18 | 36,640,296 | 8,943.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/vovnet57-0518-c080e471.pth.log)) | +| SelecSLS-42b | 21.93 | 6.11 | 32,458,248 | 2,980.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/selecsls42b-0611-acff1e8b.pth.log)) | +| SelecSLS-60 | 20.35 | 5.29 | 30,670,768 | 3,591.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.496/selecsls60-0529-1e1b05bc.pth.log)) | +| SelecSLS-60b | 20.85 | 5.59 | 32,774,064 | 3,629.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/selecsls60b-0559-a0e7b4ef.pth.log)) | +| HarDNet-39DS | 26.83 | 8.81 | 3,488,228 | 437.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.485/hardnet39ds-0881-ea47fc93.pth.log)) | +| HarDNet-68DS | 24.55 | 7.56 | 4,180,602 | 788.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.487/hardnet68ds-0756-e0da0750.pth.log)) | +| HarDNet-68 | 23.51 | 6.99 | 17,565,348 | 4,256.32M | From [PingoLH/Pytorch-HarDNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.435/hardnet68-0699-2e207f79.pth.log)) | +| HarDNet-85 | 22.00 | 5.86 | 36,670,212 | 9,088.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/hardnet85-0586-39d80e93.pth.log)) | +| SqueezeNet v1.0 | 39.29 | 17.66 | 1,248,424 | 823.67M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.128/squeezenet_v1_0-1766-afdbcf1a.pth.log)) | +| SqueezeNet v1.1 | 39.31 | 17.72 | 1,235,496 | 352.02M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.88/squeezenet_v1_1-1772-25b77bc3.pth.log)) | +| SqueezeResNet v1.0 | 39.77 | 18.09 | 1,248,424 | 823.67M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.178/squeezeresnet_v1_0-1809-25bfc02e.pth.log)) | +| SqueezeResNet v1.1 | 40.09 | 18.21 | 1,235,496 | 352.02M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.70/squeezeresnet_v1_1-1821-c27ed88f.pth.log)) | +| 1.0-SqNxt-23 | 42.51 | 19.06 | 724,056 | 287.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.171/sqnxt23_w1-1906-97b74e0c.pth.log)) | +| 1.0-SqNxt-23v5 | 40.77 | 17.85 | 921,816 | 285.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.172/sqnxt23v5_w1-1785-2fe3ad67.pth.log)) | +| 1.5-SqNxt-23 | 34.89 | 13.50 | 1,511,824 | 552.39M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.210/sqnxt23_w3d2-1350-c2f21bce.pth.log)) | +| 1.5-SqNxt-23v5 | 33.81 | 13.01 | 1,953,616 | 550.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.212/sqnxt23v5_w3d2-1301-c244844b.pth.log)) | +| 2.0-SqNxt-23 | 30.62 | 11.00 | 2,583,752 | 898.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.240/sqnxt23_w2-1100-b9bb7302.pth.log)) | +| 2.0-SqNxt-23v5 | 29.63 | 10.66 | 3,366,344 | 897.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.216/sqnxt23v5_w2-1066-229b0d3d.pth.log)) | +| ShuffleNet x0.25 (g=1) | 62.44 | 37.29 | 209,746 | 12.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.134/shufflenet_g1_wd4-3729-47dbd0f2.pth.log)) | +| ShuffleNet x0.25 (g=3) | 61.74 | 36.53 | 305,902 | 13.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.135/shufflenet_g3_wd4-3653-6abdd65e.pth.log)) | +| ShuffleNet x0.5 (g=1) | 46.59 | 22.61 | 534,484 | 41.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.174/shufflenet_g1_wd2-2261-dae4bdad.pth.log)) | +| ShuffleNet x0.5 (g=3) | 44.16 | 20.80 | 718,324 | 41.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.167/shufflenet_g3_wd2-2080-ccaacfc8.pth.log)) | +| ShuffleNet x0.75 (g=1) | 39.58 | 17.11 | 975,214 | 86.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.218/shufflenet_g1_w3d4-1711-161cd24a.pth.log)) | +| ShuffleNet x0.75 (g=3) | 38.20 | 16.50 | 1,238,266 | 85.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.219/shufflenet_g3_w3d4-1650-3f3b0aef.pth.log)) | +| ShuffleNet x1.0 (g=1) | 34.93 | 13.89 | 1,531,936 | 148.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.223/shufflenet_g1_w1-1389-4cfb65a3.pth.log)) | +| ShuffleNet x1.0 (g=2) | 34.25 | 13.63 | 1,733,848 | 147.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.241/shufflenet_g2_w1-1363-07256203.pth.log)) | +| ShuffleNet x1.0 (g=3) | 34.39 | 13.48 | 1,865,728 | 145.46M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.244/shufflenet_g3_w1-1348-ce54f64e.pth.log)) | +| ShuffleNet x1.0 (g=4) | 34.19 | 13.35 | 1,968,344 | 143.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.245/shufflenet_g4_w1-1335-e2415f82.pth.log)) | +| ShuffleNet x1.0 (g=8) | 34.06 | 13.42 | 2,434,768 | 150.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.250/shufflenet_g8_w1-1342-9a979b36.pth.log)) | +| ShuffleNetV2 x0.5 | 40.99 | 18.65 | 1,366,792 | 43.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.90/shufflenetv2_wd2-1865-9c22238b.pth.log)) | +| ShuffleNetV2 x1.0 | 31.44 | 11.63 | 2,278,604 | 149.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.133/shufflenetv2_w1-1163-c71dfb7a.pth.log)) | +| ShuffleNetV2 x1.5 | 27.47 | 9.42 | 4,406,098 | 320.77M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.288/shufflenetv2_w3d2-0942-26a92304.pth.log)) | +| ShuffleNetV2 x2.0 | 25.94 | 8.45 | 7,601,686 | 595.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.301/shufflenetv2_w2-0845-337255f6.pth.log)) | +| ShuffleNetV2b x0.5 | 40.29 | 18.22 | 1,366,792 | 43.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.157/shufflenetv2b_wd2-1822-01d18d6f.pth.log)) | +| ShuffleNetV2b x1.0 | 30.62 | 11.25 | 2,279,760 | 150.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.161/shufflenetv2b_w1-1125-6a5d3dc4.pth.log)) | +| ShuffleNetV2b x1.5 | 27.31 | 9.11 | 4,410,194 | 323.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.203/shufflenetv2b_w3d2-0911-f2106fee.pth.log)) | +| ShuffleNetV2b x2.0 | 25.58 | 8.34 | 7,611,290 | 603.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.242/shufflenetv2b_w2-0834-cb36b92c.pth.log)) | +| 108-MENet-8x1 (g=3) | 43.94 | 20.76 | 654,516 | 42.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.89/menet108_8x1_g3-2076-6acc82e4.pth.log)) | +| 128-MENet-8x1 (g=4) | 42.43 | 19.59 | 750,796 | 45.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.103/menet128_8x1_g4-1959-48fa80fc.pth.log)) | +| 160-MENet-8x1 (g=8) | 43.84 | 20.84 | 850,120 | 45.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.154/menet160_8x1_g8-2084-0f4fce43.pth.log)) | +| 228-MENet-12x1 (g=3) | 34.11 | 13.16 | 1,806,568 | 152.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.131/menet228_12x1_g3-1316-5b670c42.pth.log)) | +| 256-MENet-12x1 (g=4) | 32.65 | 12.52 | 1,888,240 | 150.65M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.152/menet256_12x1_g4-1252-14c6c86d.pth.log)) | +| 348-MENet-12x1 (g=3) | 28.24 | 9.58 | 3,368,128 | 312.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.173/menet348_12x1_g3-0958-ad50f635.pth.log)) | +| 352-MENet-12x1 (g=8) | 31.56 | 12.00 | 2,272,872 | 157.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.198/menet352_12x1_g8-1200-4ee200c5.pth.log)) | +| 456-MENet-24x1 (g=3) | 25.32 | 7.99 | 5,304,784 | 567.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.237/menet456_24x1_g3-0799-826c0022.pth.log)) | +| MobileNet x0.25 | 46.26 | 22.49 | 470,072 | 44.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.62/mobilenet_wd4-2249-1ad5e8fe.pth.log)) | +| MobileNet x0.5 | 34.15 | 13.55 | 1,331,592 | 155.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.156/mobilenet_wd2-1355-41a21242.pth.log)) | +| MobileNet x0.75 | 30.14 | 10.76 | 2,585,560 | 333.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.130/mobilenet_w3d4-1076-d801bcae.pth.log)) | +| MobileNet x1.0 | 26.61 | 8.95 | 4,231,976 | 579.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.155/mobilenet_w1-0895-7e1d739f.pth.log)) | +| MobileNetb x0.25 | 45.51 | 22.01 | 467,592 | 42.88M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/mobilenetb_wd4-2201-428da928.pth.log)) | +| MobileNetb x0.5 | 33.42 | 13.10 | 1,326,632 | 153.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.480/mobilenetb_wd2-1310-d1549ead.pth.log)) | +| MobileNetb x0.75 | 29.55 | 10.37 | 2,578,120 | 330.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/mobilenetb_w3d4-1037-8d732bc9.pth.log)) | +| MobileNetb x1.0 | 25.45 | 8.16 | 4,222,056 | 574.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/mobilenetb_w1-0816-107275a1.pth.log)) | +| FD-MobileNet x0.25 | 55.86 | 30.98 | 383,160 | 12.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.177/fdmobilenet_wd4-3098-2b22b709.pth.log)) | +| FD-MobileNet x0.5 | 43.13 | 20.15 | 993,928 | 41.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.83/fdmobilenet_wd2-2015-414dbeed.pth.log)) | +| FD-MobileNet x0.75 | 38.42 | 16.41 | 1,833,304 | 86.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.159/fdmobilenet_w3d4-1641-5561d58a.pth.log)) | +| FD-MobileNet x1.0 | 34.23 | 13.38 | 2,901,288 | 147.46M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.162/fdmobilenet_w1-1338-9d026c04.pth.log)) | +| MobileNetV2 x0.25 | 48.34 | 24.51 | 1,516,392 | 34.24M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.137/mobilenetv2_wd4-2451-05e1e3a2.pth.log)) | +| MobileNetV2 x0.5 | 35.98 | 14.93 | 1,964,736 | 100.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.170/mobilenetv2_wd2-1493-b82d79f6.pth.log)) | +| MobileNetV2 x0.75 | 30.17 | 10.82 | 2,627,592 | 198.50M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.230/mobilenetv2_w3d4-1082-8656de5a.pth.log)) | +| MobileNetV2 x1.0 | 26.97 | 8.87 | 3,504,960 | 329.36M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.213/mobilenetv2_w1-0887-13a021bc.pth.log)) | +| MobileNetV2b x0.25 | 47.05 | 23.68 | 1,516,312 | 33.18M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/mobilenetv2b_wd4-2368-399f95e6.pth.log)) | +| MobileNetV2b x0.5 | 34.77 | 14.08 | 1,964,448 | 96.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/mobilenetv2b_wd2-1408-f820ea85.pth.log)) | +| MobileNetV2b x0.75 | 30.74 | 11.05 | 2,626,968 | 190.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/mobilenetv2b_w3d4-1105-0924efc9.pth.log)) | +| MobileNetV2b x1.0 | 27.70 | 9.12 | 3,503,872 | 315.51M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/mobilenetv2b_w1-0912-2bcab1d0.pth.log)) | +| MobileNetV3 L/224/1.0 | 24.55 | 7.44 | 5,481,752 | 227.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.491/mobilenetv3_large_w1-0744-b59cae6d.pth.log)) | +| IGCV3 x0.25 | 53.70 | 28.71 | 1,534,020 | 41.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.142/igcv3_wd4-2871-c9f28301.pth.log)) | +| IGCV3 x0.5 | 39.75 | 17.32 | 1,985,528 | 111.12M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.132/igcv3_wd2-1732-8c504f44.pth.log)) | +| IGCV3 x0.75 | 31.05 | 11.40 | 2,638,084 | 210.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.207/igcv3_w3d4-1140-63f43cf8.pth.log)) | +| IGCV3 x1.0 | 27.91 | 9.20 | 3,491,688 | 340.79M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.243/igcv3_w1-0920-12385791.pth.log)) | +| MnasNet-B1 | 24.96 | 7.40 | 4,383,312 | 326.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/mnasnet_b1-0740-7025b43c.pth.log)) | +| MnasNet-A1 | 24.39 | 7.20 | 3,887,038 | 326.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/mnasnet_a1-0720-e155916c.pth.log)) | +| DARTS | 25.31 | 7.75 | 4,718,752 | 539.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.485/darts-0775-fc3171c5.pth.log)) | +| ProxylessNAS CPU | 24.71 | 7.61 | 4,361,648 | 459.96M | From [MIT-HAN-LAB/ProxylessNAS] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.304/proxylessnas_cpu-0761-fe9572b1.pth.log)) | +| ProxylessNAS GPU | 24.79 | 7.45 | 7,119,848 | 476.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.333/proxylessnas_gpu-0745-acca5941.pth.log)) | +| ProxylessNAS Mobile | 25.41 | 7.80 | 4,080,512 | 332.46M | From [MIT-HAN-LAB/ProxylessNAS] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.304/proxylessnas_mobile-0780-639a90c2.pth.log)) | +| ProxylessNAS Mob-14 | 23.29 | 6.62 | 6,857,568 | 597.10M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.331/proxylessnas_mobile14-0662-0c0ad983.pth.log)) | +| FBNet-Cb | 24.89 | 7.62 | 5,572,200 | 399.26M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.415/fbnet_cb-0762-2edb61f8.pth.log)) | +| Xception | 20.35 | 5.16 | 22,855,952 | 8,403.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.544/xception-0516-a75b50ec.pth.log)) | +| InceptionV3 | 20.44 | 5.33 | 23,834,568 | 5,743.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.552/inceptionv3-0533-025fb71c.pth.log)) | +| InceptionV4 | 19.83 | 4.88 | 42,679,816 | 12,304.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/inceptionv4-0488-4ae4f331.pth.log)) | +| InceptionResNetV1 | 19.63 | 4.80 | 23,995,624 | 6,329.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.552/inceptionresnetv1-0480-f8b3e9e3.pth.log)) | +| InceptionResNetV2 | 19.40 | 4.74 | 55,843,464 | 13,188.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.547/inceptionresnetv2-0474-19f51781.pth.log)) | +| PolyNet | 19.10 | 4.52 | 95,366,600 | 34,821.34M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.96/polynet-0452-6a1b295d.pth.log)) | +| NASNet-A 4@1056 | 25.32 | 8.03 | 5,289,978 | 584.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/nasnet_4a1056-0803-44f5ecbe.pth.log)) | +| NASNet-A 6@4032 | 18.14 | 4.21 | 88,753,150 | 23,976.44M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.101/nasnet_6a4032-0421-f354d28f.pth.log)) | +| PNASNet-5-Large | 17.88 | 4.28 | 86,057,668 | 25,140.77M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.114/pnasnet5large-0428-65de46eb.pth.log)) | +| SPNASNet | 25.41 | 7.98 | 4,421,616 | 346.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.490/spnasnet-0798-a25ca157.pth.log)) | +| EfficientNet-B0 | 24.77 | 7.52 | 5,288,548 | 414.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.364/efficientnet_b0-0752-0e386130.pth.log)) | +| EfficientNet-B1 | 23.08 | 6.38 | 7,794,184 | 732.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.376/efficientnet_b1-0638-ac77bcd7.pth.log)) | +| EfficientNet-B0b | 23.88 | 7.02 | 5,288,548 | 414.31M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b0b-0702-ecf61b9b.pth.log)) | +| EfficientNet-B1b | 21.60 | 5.94 | 7,794,184 | 732.54M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b1b-0594-614e8166.pth.log)) | +| EfficientNet-B2b | 20.31 | 5.27 | 9,109,994 | 1,051.98M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b2b-0527-531f10e6.pth.log)) | +| EfficientNet-B3b | 18.83 | 4.45 | 12,233,232 | 1,928.55M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b3b-0445-3c5fbba8.pth.log)) | +| EfficientNet-B4b | 17.45 | 3.89 | 19,341,616 | 4,607.46M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b4b-0389-6305bfe6.pth.log)) | +| EfficientNet-B5b | 16.56 | 3.37 | 30,389,784 | 10,695.20M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b5b-0337-e1c2ffcf.pth.log)) | +| EfficientNet-B6b | 16.29 | 3.23 | 43,040,704 | 19,796.24M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b6b-0323-e5c1d7c3.pth.log)) | +| EfficientNet-B7b | 15.94 | 3.22 | 66,347,960 | 39,010.98M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b7b-0322-b9c5965a.pth.log)) | +| EfficientNet-B0c* | 22.92 | 6.75 | 5,288,548 | 414.31M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b0c-0675-21778c6e.pth.log)) | +| EfficientNet-B1c* | 20.73 | 5.69 | 7,794,184 | 732.54M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b1c-0569-239ed6a4.pth.log)) | +| EfficientNet-B2c* | 19.85 | 5.03 | 9,109,994 | 1,051.98M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b2c-0503-be48d3d7.pth.log)) | +| EfficientNet-B3c* | 18.26 | 4.42 | 12,233,232 | 1,928.55M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b3c-0442-ea7080ab.pth.log)) | +| EfficientNet-B4c* | 16.82 | 3.69 | 19,341,616 | 4,607.46M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b4c-0369-5954cc05.pth.log)) | +| EfficientNet-B5c* | 15.91 | 3.10 | 30,389,784 | 10,695.20M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b5c-0310-589fefc6.pth.log)) | +| EfficientNet-B6c* | 15.47 | 2.96 | 43,040,704 | 19,796.24M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b6c-0296-546e61da.pth.log)) | +| EfficientNet-B7c* | 15.13 | 2.88 | 66,347,960 | 39,010.98M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b7c-0288-13d683f2.pth.log)) | +| EfficientNet-B8c* | 14.85 | 2.76 | 87,413,142 | 64,541.66M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b8c-0276-a9973d66.pth.log)) | +| EfficientNet-Edge-Small-b* | 22.74 | 6.40 | 5,438,392 | 2,378.12M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.434/efficientnet_edge_small_b-0640-e27c3444.pth.log)) | +| EfficientNet-Edge-Medium-b* | 21.18 | 5.63 | 6,899,496 | 3,700.12M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.434/efficientnet_edge_medium_b-0563-99fa34c7.pth.log)) | +| EfficientNet-Edge-Large-b* | 19.66 | 4.91 | 10,589,712 | 9,747.66M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.434/efficientnet_edge_large_b-0491-d502326f.pth.log)) | +| MixNet-S | 23.92 | 7.17 | 4,134,606 | 260.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/mixnet_s-0717-ab2c4e37.pth.log)) | +| MixNet-M | 22.45 | 6.47 | 5,014,382 | 366.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/mixnet_m-0647-4d90d345.pth.log)) | +| MixNet-L | 21.54 | 5.71 | 7,329,252 | 591.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.500/mixnet_l-0571-c686ba17.pth.log)) | +| ResNet(A)-10 | 31.29 | 11.90 | 5,438,024 | 1,135.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.484/resneta10-1190-a066e5e0.pth.log)) | +| ResNet(A)-BC-14 | 28.06 | 9.90 | 10,084,168 | 1,721.57M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.477/resnetabc14b-0990-bad51cb0.pth.log)) | +| ResNet(A)-18 | 25.54 | 8.31 | 11,708,744 | 2,062.24M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/resneta18-0831-e9f206f4.pth.log)) | +| ResNet(A)-50b | 21.03 | 5.56 | 25,576,264 | 4,352.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.492/resneta50b-0556-7cedbb3b.pth.log)) | +| ResNet(A)-101b | 19.13 | 4.53 | 44,568,392 | 8,072.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.532/resneta101b-0453-0f342545.pth.log)) | +| ResNet(A)-152b | 18.80 | 4.41 | 60,212,040 | 11,796.83M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.524/resneta152b-0441-c4b9bc9a.pth.log)) | +| ResNet(D)-50b | 21.04 | 5.65 | 25,680,808 | 20,497.60M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.296/resnetd50b-0565-ec03d815.pth.log)) | +| ResNet(D)-101b | 19.59 | 4.73 | 44,672,936 | 35,392.65M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.296/resnetd101b-0473-f851c920.pth.log)) | +| ResNet(D)-152b | 19.42 | 4.82 | 60,316,584 | 47,662.18M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.296/resnetd152b-0482-112e216d.pth.log)) | + +### CIFAR-10 + +| Model | Error, % | Params | FLOPs/2 | Remarks | +| --- | ---: | ---: | ---: | --- | +| NIN | 7.43 | 966,986 | 222.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.175/nin_cifar10-0743-795b0824.pth.log)) | +| ResNet-20 | 5.97 | 272,474 | 41.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.163/resnet20_cifar10-0597-9b0024ac.pth.log)) | +| ResNet-56 | 4.52 | 855,770 | 127.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.163/resnet56_cifar10-0452-628c42a2.pth.log)) | +| ResNet-110 | 3.69 | 1,730,714 | 255.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.163/resnet110_cifar10-0369-4d6ca1fc.pth.log)) | +| ResNet-164(BN) | 3.68 | 1,704,154 | 255.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.179/resnet164bn_cifar10-0368-74ae9f4b.pth.log)) | +| ResNet-272(BN) | 3.33 | 2,816,986 | 420.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.368/resnet272bn_cifar10-0333-84f28e0c.pth.log)) | +| ResNet-542(BN) | 3.43 | 5,599,066 | 833.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.369/resnet542bn_cifar10-0343-0fd36dd1.pth.log)) | +| ResNet-1001 | 3.28 | 10,328,602 | 1,536.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.201/resnet1001_cifar10-0328-77a179e2.pth.log)) | +| ResNet-1202 | 3.53 | 19,424,026 | 2,857.17M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.214/resnet1202_cifar10-0353-1d5a2129.pth.log)) | +| PreResNet-20 | 6.51 | 272,282 | 41.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.164/preresnet20_cifar10-0651-76cec68d.pth.log)) | +| PreResNet-56 | 4.49 | 855,578 | 127.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.164/preresnet56_cifar10-0449-e9124fcf.pth.log)) | +| PreResNet-110 | 3.86 | 1,730,522 | 255.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.164/preresnet110_cifar10-0386-cc08946a.pth.log)) | +| PreResNet-164(BN) | 3.64 | 1,703,258 | 255.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.196/preresnet164bn_cifar10-0364-429012d4.pth.log)) | +| PreResNet-272(BN) | 3.25 | 2,816,090 | 420.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.389/preresnet272bn_cifar10-0325-1a6a016e.pth.log)) | +| PreResNet-542(BN) | 3.14 | 5,598,170 | 833.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.391/preresnet542bn_cifar10-0314-66fd6f20.pth.log)) | +| PreResNet-1001 | 2.65 | 10,327,706 | 1,536.18M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.209/preresnet1001_cifar10-0265-9fedfe5f.pth.log)) | +| PreResNet-1202 | 3.39 | 19,423,834 | 2,857.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.246/preresnet1202_cifar10-0339-6fc686b0.pth.log)) | +| ResNeXt-29 (32x4d) | 3.15 | 4,775,754 | 780.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.169/resnext29_32x4d_cifar10-0315-30413525.pth.log)) | +| ResNeXt-29 (16x64d) | 2.41 | 68,155,210 | 10,709.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.176/resnext29_16x64d_cifar10-0241-4133d3d0.pth.log)) | +| ResNeXt-272 (1x64d) | 2.55 | 44,540,746 | 6,565.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.372/resnext272_1x64d_cifar10-0255-070ccc35.pth.log)) | +| ResNeXt-272 (2x32d) | 2.74 | 32,928,586 | 4,867.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.375/resnext272_2x32d_cifar10-0274-d2ace03c.pth.log)) | +| SE-ResNet-20 | 6.01 | 274,847 | 41.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet20_cifar10-0601-935d8943.pth.log)) | +| SE-ResNet-56 | 4.13 | 862,889 | 127.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet56_cifar10-0413-b61c1439.pth.log)) | +| SE-ResNet-110 | 3.63 | 1,744,952 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet110_cifar10-0363-1ddec230.pth.log)) | +| SE-ResNet-164(BN) | 3.39 | 1,906,258 | 256.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet164bn_cifar10-0339-1085dab6.pth.log)) | +| SE-ResNet-272(BN) | 3.39 | 3,153,826 | 422.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.390/seresnet272bn_cifar10-0339-812db518.pth.log)) | +| SE-ResNet-542(BN) | 3.47 | 6,272,746 | 838.01M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.385/seresnet542bn_cifar10-0347-d1542214.pth.log)) | +| SE-PreResNet-20 | 6.18 | 274,559 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet20_cifar10-0618-eabb3fce.pth.log)) | +| SE-PreResNet-56 | 4.51 | 862,601 | 127.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet56_cifar10-0451-fc23e153.pth.log)) | +| SE-PreResNet-110 | 4.54 | 1,744,664 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet110_cifar10-0454-418daea9.pth.log)) | +| SE-PreResNet-164(BN) | 3.73 | 1,904,882 | 256.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet164bn_cifar10-0373-ff353a29.pth.log)) | +| SE-PreResNet-272(BN) | 3.39 | 3,152,450 | 422.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet272bn_cifar10-0339-606d0964.pth.log)) | +| SE-PreResNet-542(BN) | 3.08 | 6,271,370 | 837.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.382/sepreresnet542bn_cifar10-0308-652bc884.pth.log)) | +| PyramidNet-110 (a=48) | 3.72 | 1,772,706 | 408.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.184/pyramidnet110_a48_cifar10-0372-eb185645.pth.log)) | +| PyramidNet-110 (a=84) | 2.98 | 3,904,446 | 778.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.185/pyramidnet110_a84_cifar10-0298-7b835a3c.pth.log)) | +| PyramidNet-110 (a=270) | 2.51 | 28,485,477 | 4,730.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.194/pyramidnet110_a270_cifar10-0251-31bdd9d5.pth.log)) | +| PyramidNet-164 (a=270, BN) | 2.42 | 27,216,021 | 4,608.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.264/pyramidnet164_a270_bn_cifar10-0242-daa2a402.pth.log)) | +| PyramidNet-200 (a=240, BN) | 2.44 | 26,752,702 | 4,563.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.268/pyramidnet200_a240_bn_cifar10-0244-44433afd.pth.log)) | +| PyramidNet-236 (a=220, BN) | 2.47 | 26,969,046 | 4,631.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.285/pyramidnet236_a220_bn_cifar10-0247-daa91d74.pth.log)) | +| PyramidNet-272 (a=200, BN) | 2.39 | 26,210,842 | 4,541.36M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.284/pyramidnet272_a200_bn_cifar10-0239-586b1ecd.pth.log)) | +| DenseNet-40 (k=12) | 5.61 | 599,050 | 210.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.193/densenet40_k12_cifar10-0561-8b8e8194.pth.log)) | +| DenseNet-BC-40 (k=12) | 6.43 | 176,122 | 74.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.231/densenet40_k12_bc_cifar10-0643-6dc86a2e.pth.log)) | +| DenseNet-BC-40 (k=24) | 4.52 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.220/densenet40_k24_bc_cifar10-0452-669c5255.pth.log)) | +| DenseNet-BC-40 (k=36) | 4.04 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.224/densenet40_k36_bc_cifar10-0404-b1a4cc7e.pth.log)) | +| DenseNet-100 (k=12) | 3.66 | 4,068,490 | 1,353.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.205/densenet100_k12_cifar10-0366-26089c6e.pth.log)) | +| DenseNet-100 (k=24) | 3.13 | 16,114,138 | 5,354.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.252/densenet100_k24_cifar10-0313-397f0e39.pth.log)) | +| DenseNet-BC-100 (k=12) | 4.16 | 769,162 | 298.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.189/densenet100_k12_bc_cifar10-0416-b9232829.pth.log)) | +| DenseNet-BC-190 (k=40) | 2.52 | 25,624,430 | 9,400.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.286/densenet190_k40_bc_cifar10-0252-2896fa08.pth.log)) | +| DenseNet-BC-250 (k=24) | 2.67 | 15,324,406 | 5,519.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.290/densenet250_k24_bc_cifar10-0267-f8f9d305.pth.log)) | +| X-DenseNet-BC-40-2 (k=24) | 5.31 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.226/xdensenet40_2_k24_bc_cifar10-0531-b91a9dc3.pth.log)) | +| X-DenseNet-BC-40-2 (k=36) | 4.37 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.233/xdensenet40_2_k36_bc_cifar10-0437-ed264a20.pth.log)) | +| WRN-16-10 | 2.93 | 17,116,634 | 2,414.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.166/wrn16_10_cifar10-0293-ce810d8a.pth.log)) | +| WRN-28-10 | 2.39 | 36,479,194 | 5,246.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.166/wrn28_10_cifar10-0239-fe97dcd6.pth.log)) | +| WRN-40-8 | 2.37 | 35,748,314 | 5,176.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.166/wrn40_8_cifar10-0237-8dc84ec7.pth.log)) | +| WRN-20-10-1bit | 3.26 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_1bit_cifar10-0326-e6140f8a.pth.log)) | +| WRN-20-10-32bit | 3.14 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_32bit_cifar10-0314-a18146e8.pth.log)) | +| RoR-3-56 | 5.43 | 762,746 | 113.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.228/ror3_56_cifar10-0543-44f0f47d.pth.log)) | +| RoR-3-110 | 4.35 | 1,637,690 | 242.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.235/ror3_110_cifar10-0435-fb2a2b04.pth.log)) | +| RoR-3-164 | 3.93 | 2,512,634 | 370.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.294/ror3_164_cifar10-0393-de7b6dc6.pth.log)) | +| RiR | 3.28 | 9,492,980 | 1,281.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.292/rir_cifar10-0328-414c3e60.pth.log)) | +| Shake-Shake-ResNet-20-2x16d | 5.15 | 541,082 | 81.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.215/shakeshakeresnet20_2x16d_cifar10-0515-ef71ec0d.pth.log)) | +| Shake-Shake-ResNet-26-2x32d | 3.17 | 2,923,162 | 428.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.217/shakeshakeresnet26_2x32d_cifar10-0317-ecd1f833.pth.log)) | +| DIA-ResNet-20 | 6.22 | 286,866 | 41.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet20_cifar10-0622-5e1a02bf.pth.log)) | +| DIA-ResNet-56 | 5.05 | 870,162 | 129.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet56_cifar10-0505-8ac86804.pth.log)) | +| DIA-ResNet-110 | 4.10 | 1,745,106 | 264.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet110_cifar10-0410-0c00a7da.pth.log)) | +| DIA-ResNet-164(BN) | 3.50 | 1,923,002 | 343.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet164bn_cifar10-0350-d31f2ebc.pth.log)) | +| DIA-PreResNet-20 | 6.42 | 286,674 | 41.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet20_cifar10-0642-14a1eb85.pth.log)) | +| DIA-PreResNet-56 | 4.83 | 869,970 | 129.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet56_cifar10-0483-41cae958.pth.log)) | +| DIA-PreResNet-110 | 4.25 | 1,744,914 | 264.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet110_cifar10-0425-56385016.pth.log)) | +| DIA-PreResNet-164(BN) | 3.56 | 1,922,106 | 343.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet164bn_cifar10-0356-6ec898c8.pth.log)) | + +### CIFAR-100 + +| Model | Error, % | Params | FLOPs/2 | Remarks | +| --- | ---: | ---: | ---: | --- | +| NIN | 28.39 | 984,356 | 224.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.183/nin_cifar100-2839-627a11c0.pth.log)) | +| ResNet-20 | 29.64 | 278,324 | 41.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.180/resnet20_cifar100-2964-a5322afe.pth.log)) | +| ResNet-56 | 24.88 | 861,620 | 127.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.181/resnet56_cifar100-2488-d65f53b1.pth.log)) | +| ResNet-110 | 22.80 | 1,736,564 | 255.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.190/resnet110_cifar100-2280-d8d397a7.pth.log)) | +| ResNet-164(BN) | 20.44 | 1,727,284 | 255.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.182/resnet164bn_cifar100-2044-8fa07b72.pth.log)) | +| ResNet-272(BN) | 20.07 | 2,840,116 | 420.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.368/resnet272bn_cifar100-2007-a80d2b3c.pth.log)) | +| ResNet-542(BN) | 19.32 | 5,622,196 | 833.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.369/resnet542bn_cifar100-1932-a631d3ce.pth.log)) | +| ResNet-1001 | 19.79 | 10,351,732 | 1,536.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.254/resnet1001_cifar100-1979-2728b558.pth.log)) | +| ResNet-1202 | 21.56 | 19,429,876 | 2,857.17M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.410/resnet1202_cifar100-2156-86ecd091.pth.log)) | +| PreResNet-20 | 30.22 | 278,132 | 41.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.187/preresnet20_cifar100-3022-3dbfa6a2.pth.log)) | +| PreResNet-56 | 25.05 | 861,428 | 127.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.188/preresnet56_cifar100-2505-ca90a2be.pth.log)) | +| PreResNet-110 | 22.67 | 1,736,372 | 255.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.191/preresnet110_cifar100-2267-3954e915.pth.log)) | +| PreResNet-164(BN) | 20.18 | 1,726,388 | 255.10M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.192/preresnet164bn_cifar100-2018-a8e67ca6.pth.log)) | +| PreResNet-272(BN) | 19.63 | 2,839,220 | 420.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.389/preresnet272bn_cifar100-1963-6fe0d2e2.pth.log)) | +| PreResNet-542(BN) | 18.71 | 5,621,300 | 833.66M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.391/preresnet542bn_cifar100-1871-07f1fb25.pth.log)) | +| PreResNet-1001 | 18.41 | 10,350,836 | 1,536.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.283/preresnet1001_cifar100-1841-88f14ed9.pth.log)) | +| ResNeXt-29 (32x4d) | 19.50 | 4,868,004 | 780.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.200/resnext29_32x4d_cifar100-1950-13ba13d9.pth.log)) | +| ResNeXt-29 (16x64d) | 16.93 | 68,247,460 | 10,709.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.322/resnext29_16x64d_cifar100-1693-05e9a7f1.pth.log)) | +| ResNeXt-272 (1x64d) | 19.11 | 44,632,996 | 6,565.25M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.372/resnext272_1x64d_cifar100-1911-114eb0f8.pth.log)) | +| ResNeXt-272 (2x32d) | 18.34 | 33,020,836 | 4,867.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.375/resnext272_2x32d_cifar100-1834-0b30c470.pth.log)) | +| SE-ResNet-20 | 28.54 | 280,697 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet20_cifar100-2854-8c7abf66.pth.log)) | +| SE-ResNet-56 | 22.94 | 868,739 | 127.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet56_cifar100-2294-7fa54f45.pth.log)) | +| SE-ResNet-110 | 20.86 | 1,750,802 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet110_cifar100-2086-a82c3093.pth.log)) | +| SE-ResNet-164(BN) | 19.95 | 1,929,388 | 256.57M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet164bn_cifar100-1995-97dd4ab6.pth.log)) | +| SE-ResNet-272(BN) | 19.07 | 3,176,956 | 422.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.390/seresnet272bn_cifar100-1907-179e1c38.pth.log)) | +| SE-ResNet-542(BN) | 18.87 | 6,295,876 | 838.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.385/seresnet542bn_cifar100-1887-9c4e7623.pth.log)) | +| SE-PreResNet-20 | 28.31 | 280,409 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet20_cifar100-2831-fe7558e0.pth.log)) | +| SE-PreResNet-56 | 23.05 | 868,451 | 127.21M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet56_cifar100-2305-c4bdc5d7.pth.log)) | +| SE-PreResNet-110 | 22.61 | 1,750,514 | 255.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet110_cifar100-2261-ed7d3c3e.pth.log)) | +| SE-PreResNet-164(BN) | 20.05 | 1,928,012 | 256.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet164bn_cifar100-2005-df1163c4.pth.log)) | +| SE-PreResNet-272(BN) | 19.13 | 3,175,580 | 422.47M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet272bn_cifar100-1913-cb715113.pth.log)) | +| SE-PreResNet-542(BN) | 19.45 | 6,294,500 | 837.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.382/sepreresnet542bn_cifar100-1945-9180f863.pth.log)) | +| PyramidNet-110 (a=48) | 20.95 | 1,778,556 | 408.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.186/pyramidnet110_a48_cifar100-2095-95da1a20.pth.log)) | +| PyramidNet-110 (a=84) | 18.87 | 3,913,536 | 778.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.199/pyramidnet110_a84_cifar100-1887-ff711084.pth.log)) | +| PyramidNet-110 (a=270) | 17.10 | 28,511,307 | 4,730.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.319/pyramidnet110_a270_cifar100-1710-7417dd99.pth.log)) | +| PyramidNet-164 (a=270, BN) | 16.70 | 27,319,071 | 4,608.91M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.312/pyramidnet164_a270_bn_cifar100-1670-54d99c83.pth.log)) | +| PyramidNet-200 (a=240, BN) | 16.09 | 26,844,952 | 4,563.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.317/pyramidnet200_a240_bn_cifar100-1609-0729db37.npz.log)) | +| PyramidNet-236 (a=220, BN) | 16.34 | 27,054,096 | 4,631.41M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.312/pyramidnet236_a220_bn_cifar100-1634-a45816eb.pth.log)) | +| PyramidNet-272 (a=200, BN) | 16.19 | 26,288,692 | 4,541.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.312/pyramidnet272_a200_bn_cifar100-1619-98bc2f48.pth.log)) | +| DenseNet-40 (k=12) | 24.90 | 622,360 | 210.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.195/densenet40_k12_cifar100-2490-d182c224.pth.log)) | +| DenseNet-BC-40 (k=12) | 28.41 | 188,092 | 74.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.232/densenet40_k12_bc_cifar100-2841-1e9db765.pth.log)) | +| DenseNet-BC-40 (k=24) | 22.67 | 714,196 | 293.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.221/densenet40_k24_bc_cifar100-2267-411719c0.pth.log)) | +| DenseNet-BC-40 (k=36) | 20.50 | 1,578,412 | 654.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.225/densenet40_k36_bc_cifar100-2050-cde836fa.pth.log)) | +| DenseNet-100 (k=12) | 19.64 | 4,129,600 | 1,353.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.206/densenet100_k12_cifar100-1964-5e10cd83.pth.log)) | +| DenseNet-100 (k=24) | 18.08 | 16,236,268 | 5,354.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.318/densenet100_k24_cifar100-1808-1c0a8067.pth.log)) | +| DenseNet-BC-100 (k=12) | 21.19 | 800,032 | 298.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.208/densenet100_k12_bc_cifar100-2119-05a6f027.pth.log)) | +| DenseNet-BC-250 (k=24) | 17.39 | 15,480,556 | 5,519.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.303/densenet250_k24_bc_cifar100-1739-09ac3e7d.pth.log)) | +| X-DenseNet-BC-40-2 (k=24) | 23.96 | 714,196 | 293.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.227/xdensenet40_2_k24_bc_cifar100-2396-0ce8f78a.pth.log)) | +| X-DenseNet-BC-40-2 (k=36) | 21.65 | 1,578,412 | 654.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.234/xdensenet40_2_k36_bc_cifar100-2165-6f68f83d.pth.log)) | +| WRN-16-10 | 18.95 | 17,174,324 | 2,414.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.204/wrn16_10_cifar100-1895-bef9809c.pth.log)) | +| WRN-28-10 | 17.88 | 36,536,884 | 5,247.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.320/wrn28_10_cifar100-1788-8c3fe818.pth.log)) | +| WRN-40-8 | 18.03 | 35,794,484 | 5,176.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.321/wrn40_8_cifar100-1803-0d18bfbf.pth.log)) | +| WRN-20-10-1bit | 19.04 | 26,794,920 | 4,022.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_1bit_cifar100-1904-149860c8.pth.log)) | +| WRN-20-10-32bit | 18.12 | 26,794,920 | 4,022.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_32bit_cifar100-1812-70d8972c.pth.log)) | +| RoR-3-56 | 25.49 | 768,596 | 113.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.229/ror3_56_cifar100-2549-34be6719.pth.log)) | +| RoR-3-110 | 23.64 | 1,643,540 | 242.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.236/ror3_110_cifar100-2364-d599e3a9.pth.log)) | +| RoR-3-164 | 22.34 | 2,518,484 | 370.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.294/ror3_164_cifar100-2234-d37483fc.pth.log)) | +| RiR | 19.23 | 9,527,720 | 1,283.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.292/rir_cifar100-1923-de8ec24a.pth.log)) | +| Shake-Shake-ResNet-20-2x16d | 29.22 | 546,932 | 81.79M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.247/shakeshakeresnet20_2x16d_cifar100-2922-4d07f142.pth.log)) | +| Shake-Shake-ResNet-26-2x32d | 18.80 | 2,934,772 | 428.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.222/shakeshakeresnet26_2x32d_cifar100-1880-b47e371f.pth.log)) | +| DIA-ResNet-20 | 27.71 | 292,716 | 41.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet20_cifar100-2771-28aa1a18.pth.log)) | +| DIA-ResNet-56 | 24.35 | 876,012 | 129.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet56_cifar100-2435-19085975.pth.log)) | +| DIA-ResNet-110 | 22.11 | 1,750,956 | 264.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet110_cifar100-2211-7096ddb3.pth.log)) | +| DIA-ResNet-164(BN) | 19.53 | 1,946,132 | 343.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet164bn_cifar100-1953-b1c474d2.pth.log)) | +| DIA-PreResNet-20 | 28.37 | 292,524 | 41.53M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet20_cifar100-2837-f7675c09.pth.log)) | +| DIA-PreResNet-56 | 25.05 | 875,820 | 129.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet56_cifar100-2505-5d357985.pth.log)) | +| DIA-PreResNet-110 | 22.69 | 1,750,764 | 264.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet110_cifar100-2269-c993cc29.pth.log)) | +| DIA-PreResNet-164(BN) | 19.99 | 1,945,236 | 343.39M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet164bn_cifar100-1999-00872f98.pth.log)) | + +### SVHN + +| Model | Error, % | Params | FLOPs/2 | Remarks | +| --- | ---: | ---: | ---: | --- | +| NIN | 3.76 | 966,986 | 222.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.270/nin_svhn-0376-1205dc06.pth.log)) | +| ResNet-20 | 3.43 | 272,474 | 41.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.265/resnet20_svhn-0343-8232e6e4.pth.log)) | +| ResNet-56 | 2.75 | 855,770 | 127.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.265/resnet56_svhn-0275-6e08ed92.pth.log)) | +| ResNet-110 | 2.45 | 1,730,714 | 255.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.265/resnet110_svhn-0245-c971f0a3.pth.log)) | +| ResNet-164(BN) | 2.42 | 1,704,154 | 255.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.267/resnet164bn_svhn-0242-54941372.pth.log)) | +| ResNet-272(BN) | 2.43 | 2,816,986 | 420.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.368/resnet272bn_svhn-0243-ab1d7da5.pth.log)) | +| ResNet-542(BN) | 2.34 | 5,599,066 | 833.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.369/resnet542bn_svhn-0234-04396c97.pth.log)) | +| ResNet-1001 | 2.41 | 10,328,602 | 1,536.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.408/resnet1001_svhn-0241-9e3d4bb5.pth.log)) | +| PreResNet-20 | 3.22 | 272,282 | 41.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet20_svhn-0322-c3c00fed.pth.log)) | +| PreResNet-56 | 2.80 | 855,578 | 127.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet56_svhn-0280-b51b4147.pth.log)) | +| PreResNet-110 | 2.79 | 1,730,522 | 255.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet110_svhn-0279-aa49e0a3.pth.log)) | +| PreResNet-164(BN) | 2.58 | 1,703,258 | 255.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet164bn_svhn-0258-94d42de4.pth.log)) | +| PreResNet-272(BN) | 2.34 | 2,816,090 | 420.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.389/preresnet272bn_svhn-0234-c04ef5c2.pth.log)) | +| PreResNet-542(BN) | 2.36 | 5,598,170 | 833.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.391/preresnet542bn_svhn-0236-6bdf9236.pth.log)) | +| ResNeXt-29 (32x4d) | 2.80 | 4,775,754 | 780.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.275/resnext29_32x4d_svhn-0280-e85c5217.pth.log)) | +| ResNeXt-29 (16x64d) | 2.68 | 68,155,210 | 10,709.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.358/resnext29_16x64d_svhn-0268-74332b71.pth.log)) | +| ResNeXt-272 (1x64d) | 2.35 | 44,540,746 | 6,565.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.372/resnext272_1x64d_svhn-0235-ab044846.pth.log)) | +| ResNeXt-272 (2x32d) | 2.44 | 32,928,586 | 4,867.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.375/resnext272_2x32d_svhn-0244-39b8a336.pth.log)) | +| SE-ResNet-20 | 3.23 | 274,847 | 41.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet20_svhn-0323-d77df31c.pth.log)) | +| SE-ResNet-56 | 2.64 | 862,889 | 127.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet56_svhn-0264-93839c76.pth.log)) | +| SE-ResNet-110 | 2.35 | 1,744,952 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet110_svhn-0235-9572ba73.pth.log)) | +| SE-ResNet-164(BN) | 2.45 | 1,906,258 | 256.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet164bn_svhn-0245-af0a90a5.pth.log)) | +| SE-ResNet-272(BN) | 2.38 | 3,153,826 | 422.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.390/seresnet272bn_svhn-0238-0e16bada.pth.log)) | +| SE-ResNet-542(BN) | 2.26 | 6,272,746 | 838.01M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.385/seresnet542bn_svhn-0226-71a8f298.pth.log)) | +| SE-PreResNet-20 | 3.24 | 274,559 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet20_svhn-0324-061daa58.pth.log)) | +| SE-PreResNet-56 | 2.71 | 862,601 | 127.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet56_svhn-0271-c91e922f.pth.log)) | +| SE-PreResNet-110 | 2.59 | 1,744,664 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet110_svhn-0259-556909fd.pth.log)) | +| SE-PreResNet-164(BN) | 2.56 | 1,904,882 | 256.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet164bn_svhn-0256-f8dd4e06.pth.log)) | +| SE-PreResNet-272(BN) | 2.49 | 3,152,450 | 422.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet272bn_svhn-0249-904d74a2.pth.log)) | +| SE-PreResNet-542(BN) | 2.47 | 6,271,370 | 837.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.382/sepreresnet542bn_svhn-0247-318a8325.pth.log)) | +| PyramidNet-110 (a=48) | 2.47 | 1,772,706 | 408.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.281/pyramidnet110_a48_svhn-0247-d48bafbe.pth.log)) | +| PyramidNet-110 (a=84) | 2.43 | 3,904,446 | 778.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.392/pyramidnet110_a84_svhn-0243-971576c6.pth.log)) | +| PyramidNet-110 (a=270) | 2.38 | 28,485,477 | 4,730.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.393/pyramidnet110_a270_svhn-0238-3047a9bb.pth.log)) | +| PyramidNet-164 (a=270, BN) | 2.33 | 27,216,021 | 4,608.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.396/pyramidnet164_a270_bn_svhn-0233-42d4c033.pth.log)) | +| PyramidNet-200 (a=240, BN) | 2.32 | 26,752,702 | 4,563.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.397/pyramidnet200_a240_bn_svhn-0232-f9660c25.pth.log)) | +| PyramidNet-236 (a=220, BN) | 2.35 | 26,969,046 | 4,631.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.398/pyramidnet236_a220_bn_svhn-0235-f74fe248.pth.log)) | +| PyramidNet-272 (a=200, BN) | 2.40 | 26,210,842 | 4,541.36M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.404/pyramidnet272_a200_bn_svhn-0240-96f6e740.pth.log)) | +| DenseNet-40 (k=12) | 3.05 | 599,050 | 210.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.278/densenet40_k12_svhn-0305-ac0de84a.pth.log)) | +| DenseNet-BC-40 (k=12) | 3.20 | 176,122 | 74.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.279/densenet40_k12_bc_svhn-0320-32076052.pth.log)) | +| DenseNet-BC-40 (k=24) | 2.90 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.280/densenet40_k24_bc_svhn-0290-f4440d3b.pth.log)) | +| DenseNet-BC-40 (k=36) | 2.60 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.311/densenet40_k36_bc_svhn-0260-8c7db0a2.pth.log)) | +| DenseNet-100 (k=12) | 2.60 | 4,068,490 | 1,353.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.311/densenet100_k12_svhn-0260-57fde50e.pth.log)) | +| X-DenseNet-BC-40-2 (k=24) | 2.87 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.306/xdensenet40_2_k24_bc_svhn-0287-fd9b6def.pth.log)) | +| X-DenseNet-BC-40-2 (k=36) | 2.74 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.306/xdensenet40_2_k36_bc_svhn-0274-540a69f1.pth.log)) | +| WRN-16-10 | 2.78 | 17,116,634 | 2,414.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.271/wrn16_10_svhn-0278-5ab2a4ed.pth.log)) | +| WRN-28-10 | 2.71 | 36,479,194 | 5,246.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.276/wrn28_10_svhn-0271-d62b6bba.pth.log)) | +| WRN-40-8 | 2.54 | 35,748,314 | 5,176.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.277/wrn40_8_svhn-0254-dee59602.pth.log)) | +| WRN-20-10-1bit | 2.73 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_1bit_svhn-0273-ffe96cb7.pth.log)) | +| WRN-20-10-32bit | 2.59 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_32bit_svhn-0259-ce402a58.pth.log)) | +| RoR-3-56 | 2.69 | 762,746 | 113.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.287/ror3_56_svhn-0269-5a9ad66c.pth.log)) | +| RoR-3-110 | 2.57 | 1,637,690 | 242.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.287/ror3_110_svhn-0257-155380ad.pth.log)) | +| RoR-3-164 | 2.73 | 2,512,634 | 370.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.294/ror3_164_svhn-0273-ff0d9af0.pth.log)) | +| RiR | 2.68 | 9,492,980 | 1,281.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.292/rir_svhn-0268-12fcbd3b.pth.log)) | +| Shake-Shake-ResNet-20-2x16d | 3.17 | 541,082 | 81.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.295/shakeshakeresnet20_2x16d_svhn-0317-a693ec24.pth.log)) | +| Shake-Shake-ResNet-26-2x32d | 2.62 | 2,923,162 | 428.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.295/shakeshakeresnet26_2x32d_svhn-0262-c1b8099e.pth.log)) | +| DIA-ResNet-20 | 3.23 | 286,866 | 41.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet20_svhn-0323-b8ee92c9.pth.log)) | +| DIA-ResNet-56 | 2.68 | 870,162 | 129.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet56_svhn-0268-bd2ec755.pth.log)) | +| DIA-ResNet-110 | 2.47 | 1,745,106 | 264.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet110_svhn-0247-635e42cf.pth.log)) | +| DIA-ResNet-164(BN) | 2.44 | 1,923,002 | 343.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet164bn_svhn-0244-0b8f6713.pth.log)) | +| DIA-PreResNet-20 | 3.03 | 286,674 | 41.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet20_svhn-0303-dc3e3a45.pth.log)) | +| DIA-PreResNet-56 | 2.80 | 869,970 | 129.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet56_svhn-0280-537ebc66.pth.log)) | +| DIA-PreResNet-110 | 2.42 | 1,744,914 | 264.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet110_svhn-0242-a156cfb5.pth.log)) | +| DIA-PreResNet-164(BN) | 2.56 | 1,922,106 | 343.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet164bn_svhn-0256-13404881.pth.log)) | + +### CUB-200-2011 + +| Model | Error, % | Params | FLOPs/2 | Remarks | +| --- | ---: | ---: | ---: | --- | +| ResNet-10 | 27.77 | 5,008,392 | 893.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.335/resnet10_cub-2777-4525b593.pth.log)) | +| ResNet-12 | 27.27 | 5,082,376 | 1,125.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.336/resnet12_cub-2727-c1524883.pth.log)) | +| ResNet-14 | 24.77 | 5,377,800 | 1,357.53M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.337/resnet14_cub-2477-5051bbc6.pth.log)) | +| ResNet-16 | 23.65 | 6,558,472 | 1,588.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.338/resnet16_cub-2365-b831356c.pth.log)) | +| ResNet-18 | 23.33 | 11,279,112 | 1,820.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.344/resnet18_cub-2333-200d8b9c.pth.log)) | +| ResNet-26 | 23.16 | 17,549,832 | 2,746.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.345/resnet26_cub-2316-599ab467.pth.log)) | +| SE-ResNet-10 | 27.72 | 5,052,932 | 893.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet10_cub-2772-f52526ec.pth.log)) | +| SE-ResNet-12 | 26.51 | 5,127,496 | 1,126.17M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet12_cub-2651-5c0e7f83.pth.log)) | +| SE-ResNet-14 | 24.16 | 5,425,104 | 1,357.92M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet14_cub-2416-a4cda901.pth.log)) | +| SE-ResNet-16 | 23.32 | 6,614,240 | 1,589.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet16_cub-2332-43a819b7.pth.log)) | +| SE-ResNet-18 | 23.52 | 11,368,192 | 1,820.47M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet18_cub-2352-414fa277.pth.log)) | +| SE-ResNet-26 | 22.99 | 17,683,452 | 2,747.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet26_cub-2299-5aa0a7d1.pth.log)) | +| MobileNet x1.0 | 23.77 | 3,411,976 | 578.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.346/mobilenet_w1_cub-2377-8428471f.pth.log)) | +| ProxylessNAS Mobile | 22.66 | 3,055,712 | 331.44M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.347/proxylessnas_mobile_cub-2266-e4b5098a.pth.log)) | +| NTS-Net | 12.77 | 28,623,333 | 33,361.79M | From [yangze0930/NTS-Net] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.334/ntsnet_cub-1277-f6f330ab.pth.log)) | + +### Pascal VOC20102 + +| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | ---: | --- | +| PSPNet | ResNet(D)-101b | 98.09 | 81.44 | 65,708,501 | 230,771.01M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_voc-8144-c22f0219.pth.log)) | +| DeepLabv3 | ResNet(D)-101b | 97.95 | 80.24 | 58,754,773 | 47,625.34M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd101b_voc-8024-fd8bf74f.pth.log)) | +| DeepLabv3 | ResNet(D)-152b | 98.11 | 81.20 | 74,398,421 | 59,894.87M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd152b_voc-8120-f2dae198.pth.log)) | +| FCN-8s(d) | ResNet(D)-101b | 97.80 | 80.40 | 52,072,917 | 196,562.96M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd101b_voc-8040-66edc0b0.pth.log)) | + +### ADE20K + +| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | ---: | --- | +| PSPNet | ResNet(D)-50b | 79.37 | 36.87 | 46,782,550 | 162,595.14M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd50b_ade20k-3687-13f22137.pth.log)) | +| PSPNet | ResNet(D)-101b | 79.93 | 37.97 | 65,774,678 | 231,008.79M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_ade20k-3797-115d62bf.pth.log)) | +| DeepLabv3 | ResNet(D)-50b | 79.72 | 37.13 | 39,795,798 | 32,756.18M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd50b_ade20k-3713-bddbb458.pth.log)) | +| DeepLabv3 | ResNet(D)-101b | 80.21 | 37.84 | 58,787,926 | 47,651.23M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd101b_ade20k-3784-977446a5.pth.log)) | +| FCN-8s(d) | ResNet(D)-50b | 76.92 | 33.39 | 33,146,966 | 128,387.08M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd50b_ade20k-3339-e1dad8a1.pth.log)) | +| FCN-8s(d) | ResNet(D)-101b | 79.01 | 35.88 | 52,139,094 | 196,800.73M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd101b_ade20k-3588-30d05ca4.pth.log)) | + +### Cityscapes + +| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | ---: | --- | +| PSPNet | ResNet(D)-101b | 96.17 | 71.72 | 65,707,475 | 230,767.33M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_cityscapes-7172-0a6efb49.pth.log)) | +| ICNet | ResNet(D)-50b | 95.50 | 64.02 | 47,489,184 | 14,253.43M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.457/icnet_resnetd50b_cityscapes-6402-b380f8cc.pth.log)) | +| SINet | - | 94.08 | 61.72 | 119,418 | 1,419.90M | From [clovaai/c3_sinet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.437/sinet_cityscapes-6172-8ecd1414.pth.log)) | +| Fast-SCNN | - | 95.14 | 65.76 | 1,138,051 | 3493.33M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.474/fastscnn_cityscapes-6576-b9859a25.pth.log)) | +| DANet | ResNet(D)-50b | 95.91 | 67.99 | 47,586,427 | 180,397.43M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.468/danet_resnetd50b_cityscapes-6799-c5740c9f.pth.log)) | +| DANet | ResNet(D)-101b | 96.03 | 68.10 | 66,578,555 | 248,811.08M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.468/danet_resnetd101b_cityscapes-6810-f1eeb724.pth.log)) | + +### COCO Semantic Segmentation + +| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | ---: | --- | +| PSPNet | ResNet(D)-101b | 92.05 | 67.41 | 65,708,501 | 230,771.01M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_coco-6741-c8b13be6.pth.log)) | +| DeepLabv3 | ResNet(D)-101b | 92.19 | 67.73 | 58,754,773 | 47,625.34M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd101b_coco-6773-e59c1d8f.pth.log)) | +| DeepLabv3 | ResNet(D)-152b | 92.24 | 68.99 | 74,398,421 | 275,087.91M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd152b_coco-6899-7e946d7a.pth.log)) | +| FCN-8s(d) | ResNet(D)-101b | 91.44 | 60.11 | 52,072,917 | 196,562.96M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd101b_coco-6011-ebe2ad0b.pth.log)) | + +### CelebAMask-HQ + +| Model | Extractor | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | --- | +| BiSeNet | ResNet-18 | 13,300,416 | - | From [zllrunning/face...Torch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.462/bisenet_resnet18_celebamaskhq-0000-98affefd.pth.log)) | + +### COCO Keypoints Detection + +| Model | Extractor | OKS AP, % | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | --- | +| AlphaPose | Fast-SE-ResNet-101b | 74.15/91.59/80.68 | 59,569,873 | 9,553.89M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.454/alphapose_fastseresnet101b_coco-7415-b9e3f64a.pth.log)) | +| SimplePose | ResNet-18 | 66.31/89.20/73.41 | 15,376,721 | 1,799.25M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resnet18_coco-6631-7c3656b3.pth.log)) | +| SimplePose | ResNet-50b | 71.02/91.23/78.57 | 33,999,697 | 4,041.06M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resnet50b_coco-7102-621d2545.pth.log)) | +| SimplePose | ResNet-101b | 72.44/92.18/79.76 | 52,991,825 | 7,685.04M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resnet101b_coco-7244-540c29ec.pth.log)) | +| SimplePose | ResNet-152b | 72.53/92.14/79.61 | 68,635,473 | 11,332.86M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resnet152b_coco-7253-3a358d7d.pth.log)) | +| SimplePose | ResNet(A)-50b | 71.70/91.31/78.66 | 34,018,929 | 4,278.56M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resneta50b_coco-7170-2d973dc5.pth.log)) | +| SimplePose | ResNet(A)-101b | 72.97/92.24/80.81 | 53,011,057 | 7,922.54M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resneta101b_coco-7297-08175610.pth.log)) | +| SimplePose | ResNet(A)-152b | 73.44/92.27/80.72 | 68,654,705 | 11,570.36M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resneta152b_coco-7344-dacb65cf.pth.log)) | +| SimplePose(Mobile) | ResNet-18 | 66.25/89.17/74.32 | 12,858,208 | 1,960.96M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_resnet18_coco-6625-1e27b206.pth.log)) | +| SimplePose(Mobile) | ResNet-50b | 71.10/91.28/78.67 | 25,582,944 | 4,221.30M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_resnet50b_coco-7110-023f910c.pth.log)) | +| SimplePose(Mobile) | 1.0 MobileNet-224 | 64.10/88.06/71.23 | 5,019,744 | 751.36M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_mobilenet_w1_coco-6410-0ca46de0.pth.log)) | +| SimplePose(Mobile) | 1.0 MobileNetV2b-224 | 63.74/88.12/71.06 | 4,102,176 | 495.95M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_mobilenetv2b_w1_coco-6374-94f86097.pth.log)) | +| SimplePose(Mobile) | MobileNetV3 Small 224/1.0 | 54.34/83.67/59.35 | 2,625,088 | 236.51M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_mobilenetv3_small_w1_coco-5434-5cedb749.pth.log)) | +| SimplePose(Mobile) | MobileNetV3 Large 224/1.0 | 63.67/88.91/70.82 | 4,768,336 | 403.97M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_mobilenetv3_large_w1_coco-6367-9515de07.pth.log)) | +| Lightweight OpenPose 2D | MobileNet | 39.99/65.95/40.70 | 4,091,698 | 8,948.96M | From [Daniil-Osokin/lighw...ch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.458/lwopenpose2d_mobilenet_cmupan_coco-3999-a6b9c66b.pth.log)) | +| Lightweight OpenPose 3D | MobileNet | 39.99/65.95/40.70 | 5,085,983 | 11,049.43M | From [Daniil-Osokin/li...3d...ch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.458/lwopenpose3d_mobilenet_cmupan_coco-3999-4c727e1d.pth.log)) | +| IBPPose | - | 64.87/83.62/70.13 | 95,827,784 | 57,195.91M | From [jialee93/Improved...Parts] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.459/ibppose_coco-6487-1958fe10.pth.log)) | + +### Mozilla Common Voice (Corpus 6.1, dev subset) + +Some remarks: +- NR means Noise Reduction. +- LS means trained on LibriSpeech dataset. + +| Model | Lang | WER, % | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | --- | +| Jasper DR 10x5 | En | 21.92 | 332,632,349 | 85,142.96M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/jasperdr10x5_en-2192-c2c00e2c.pth.log)) | +| Jasper DR 10x5 NR | En | 17.92 | 332,632,349 | 85,142.96M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/jasperdr10x5_en_nr-1792-0417568d.pth.log)) | +| QuartzNet 5x5 LS | En | 44.69 | 6,713,181 | 1,717.12M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet5x5_en_ls-4469-45bb0d81.pth.log)) | +| QuartzNet 15x5 | En | 16.79 | 18,924,381 | 4,840.29M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_en-1679-d59dfb8a.pth.log)) | +| QuartzNet 15x5 NR | En | 17.76 | 18,924,381 | 4,840.29M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_en_nr-1776-dfc92f27.pth.log)) | +| QuartzNet 15x5 | De | 11.67 | 18,927,456 | 4,841.08M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_de-1167-fb6c1f37.pth.log)) | +| QuartzNet 15x5 | Fr | 13.88 | 18,938,731 | 4,843.96M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_fr-1388-18af35d6.pth.log)) | +| QuartzNet 15x5 | It | 15.02 | 18,934,631 | 4,842.91M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_it-1502-04cac187.pth.log)) | +| QuartzNet 15x5 | Es | 12.95 | 18,931,556 | 4,842.13M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_es-1295-0e3f57f7.pth.log)) | +| QuartzNet 15x5 | Ca | 8.42 | 18,934,631 | 4,842.91M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_ca-0842-05b4e456.pth.log)) | +| QuartzNet 15x5 | Pl | 13.59 | 18,929,506 | 4,841.60M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_pl-1359-a57dfee4.pth.log)) | +| QuartzNet 15x5 | Ru | 16.48 | 18,930,531 | 4,841.87M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_ru-1648-deaa15ba.pth.log)) | +| QuartzNet 15x5 | Ru/34 | 9.69 | 18,929,506 | 4,841.60M | From [sberdevices/golos] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_ru34-0969-977a0157.pth.log)) | + +[dmlc/gluon-cv]: https://github.com/dmlc/gluon-cv +[tornadomeet/ResNet]: https://github.com/tornadomeet/ResNet +[Cadene/pretrained...pytorch]: https://github.com/Cadene/pretrained-models.pytorch +[ShichenLiu/CondenseNet]: https://github.com/ShichenLiu/CondenseNet +[clavichord93/MENet]: https://github.com/clavichord93/MENet +[clavichord93/FD-MobileNet]: https://github.com/clavichord93/FD-MobileNet +[tensorpack/tensorpack]: https://github.com/tensorpack/tensorpack +[dyhan0920/Pyramid...PyTorch]: https://github.com/dyhan0920/PyramidNet-PyTorch +[zeusees/Mnasnet...Model]: https://github.com/zeusees/Mnasnet-Pretrained-Model +[szagoruyko/diracnets]: https://github.com/szagoruyko/diracnets +[szagoruyko/functional-zoo]: https://github.com/szagoruyko/functional-zoo +[fyu/drn]: https://github.com/fyu/drn +[quark0/darts]: https://github.com/quark0/darts +[soeaver/AirNet-PyTorch]: https://github.com/soeaver/AirNet-PyTorch +[soeaver/mxnet-model]: https://github.com/soeaver/mxnet-model +[Jongchan/attention-module]: https://github.com/Jongchan/attention-module +[XingangPan/IBN-Net]: https://github.com/XingangPan/IBN-Net +[cypw/CRU-Net]: https://github.com/cypw/CRU-Net +[kevin-ssy/FishNet]: https://github.com/kevin-ssy/FishNet +[ucbdrive/dla]: https://github.com/ucbdrive/dla +[sacmehta/ESPNetv2]: https://github.com/sacmehta/ESPNetv2 +[sacmehta/EdgeNets]: https://github.com/sacmehta/EdgeNets +[jhjacobsen/pytorch-i-revnet]: https://github.com/jhjacobsen/pytorch-i-revnet +[wielandbrendel/bag...models]: https://github.com/wielandbrendel/bag-of-local-features-models +[MIT-HAN-LAB/ProxylessNAS]: https://github.com/MIT-HAN-LAB/ProxylessNAS +[yangze0930/NTS-Net]: https://github.com/yangze0930/NTS-Net +[rwightman/pyt...models]: https://github.com/rwightman/pytorch-image-models +[HRNet/HRNet...ation]: https://github.com/HRNet/HRNet-Image-Classification +[stigma0617/VoVNet.pytorch]: https://github.com/stigma0617/VoVNet.pytorch +[PingoLH/Pytorch-HarDNet]: https://github.com/PingoLH/Pytorch-HarDNet +[clovaai/c3_sinet]: https://github.com/clovaai/c3_sinet +[Daniil-Osokin/lighw...ch]: https://github.com/Daniil-Osokin/lightweight-human-pose-estimation.pytorch +[Daniil-Osokin/li...3d...ch]: https://github.com/Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch +[jialee93/Improved...Parts]: https://github.com/jialee93/Improved-Body-Parts +[zllrunning/face...Torch]: https://github.com/zllrunning/face-parsing.PyTorch +[MCG-NKU/SCNet]: https://github.com/MCG-NKU/SCNet +[NVIDIA/NeMo]: https://github.com/NVIDIA/NeMo +[sberdevices/golos]: https://github.com/sberdevices/golos + + + +%package help +Summary: Development documents and examples for pytorchcv +Provides: python3-pytorchcv-doc +%description help +# Computer vision models on PyTorch + +[](https://pypi.python.org/pypi/pytorchcv) +[](https://pepy.tech/project/pytorchcv) + +This is a collection of image classification, segmentation, detection, and pose estimation models. Many of them are pretrained on +[ImageNet-1K](http://www.image-net.org), [CIFAR-10/100](https://www.cs.toronto.edu/~kriz/cifar.html), +[SVHN](http://ufldl.stanford.edu/housenumbers), [CUB-200-2011](http://www.vision.caltech.edu/visipedia/CUB-200-2011.html), +[Pascal VOC2012](http://host.robots.ox.ac.uk/pascal/VOC/voc2012), [ADE20K](http://groups.csail.mit.edu/vision/datasets/ADE20K), +[Cityscapes](https://www.cityscapes-dataset.com), and [COCO](http://cocodataset.org) datasets and loaded automatically +during use. All pretrained models require the same ordinary normalization. Scripts for training/evaluating/converting +models are in the [`imgclsmob`](https://github.com/osmr/imgclsmob) repo. + +## List of implemented models + +- AlexNet (['One weird trick for parallelizing convolutional neural networks'](https://arxiv.org/abs/1404.5997)) +- ZFNet (['Visualizing and Understanding Convolutional Networks'](https://arxiv.org/abs/1311.2901)) +- VGG/BN-VGG (['Very Deep Convolutional Networks for Large-Scale Image Recognition'](https://arxiv.org/abs/1409.1556)) +- BN-Inception (['Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift'](https://arxiv.org/abs/1502.03167)) +- ResNet (['Deep Residual Learning for Image Recognition'](https://arxiv.org/abs/1512.03385)) +- PreResNet (['Identity Mappings in Deep Residual Networks'](https://arxiv.org/abs/1603.05027)) +- ResNeXt (['Aggregated Residual Transformations for Deep Neural Networks'](http://arxiv.org/abs/1611.05431)) +- SENet/SE-ResNet/SE-PreResNet/SE-ResNeXt (['Squeeze-and-Excitation Networks'](https://arxiv.org/abs/1709.01507)) +- ResNeSt(A) (['ResNeSt: Split-Attention Networks'](https://arxiv.org/abs/2004.08955)) +- IBN-ResNet/IBN-ResNeXt/IBN-DenseNet (['Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net'](https://arxiv.org/abs/1807.09441)) +- AirNet/AirNeXt (['Attention Inspiring Receptive-Fields Network for Learning Invariant Representations'](https://ieeexplore.ieee.org/document/8510896)) +- BAM-ResNet (['BAM: Bottleneck Attention Module'](https://arxiv.org/abs/1807.06514)) +- CBAM-ResNet (['CBAM: Convolutional Block Attention Module'](https://arxiv.org/abs/1807.06521)) +- ResAttNet (['Residual Attention Network for Image Classification'](https://arxiv.org/abs/1704.06904)) +- SKNet (['Selective Kernel Networks'](https://arxiv.org/abs/1903.06586)) +- SCNet (['Improving Convolutional Networks with Self-Calibrated Convolutions'](http://mftp.mmcheng.net/Papers/20cvprSCNet.pdf)) +- RegNet (['Designing Network Design Spaces'](https://arxiv.org/abs/2003.13678)) +- DIA-ResNet (['DIANet: Dense-and-Implicit Attention Network'](https://arxiv.org/abs/1905.10671)) +- PyramidNet (['Deep Pyramidal Residual Networks'](https://arxiv.org/abs/1610.02915)) +- DiracNetV2 (['DiracNets: Training Very Deep Neural Networks Without Skip-Connections'](https://arxiv.org/abs/1706.00388)) +- ShaResNet (['ShaResNet: reducing residual network parameter number by sharing weights'](https://arxiv.org/abs/1702.08782)) +- DenseNet (['Densely Connected Convolutional Networks'](https://arxiv.org/abs/1608.06993)) +- CondenseNet (['CondenseNet: An Efficient DenseNet using Learned Group Convolutions'](https://arxiv.org/abs/1711.09224)) +- SparseNet (['Sparsely Aggregated Convolutional Networks'](https://arxiv.org/abs/1801.05895)) +- PeleeNet (['Pelee: A Real-Time Object Detection System on Mobile Devices'](https://arxiv.org/abs/1804.06882)) +- Oct-ResNet (['Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution'](https://arxiv.org/abs/1904.05049)) +- WRN (['Wide Residual Networks'](https://arxiv.org/abs/1605.07146)) +- WRN-1bit (['Training wide residual networks for deployment using a single bit for each weight'](https://arxiv.org/abs/1802.08530)) +- DRN-C/DRN-D (['Dilated Residual Networks'](https://arxiv.org/abs/1705.09914)) +- DPN (['Dual Path Networks'](https://arxiv.org/abs/1707.01629)) +- DarkNet Ref/Tiny/19 (['Darknet: Open source neural networks in c'](https://github.com/pjreddie/darknet)) +- DarkNet-53 (['YOLOv3: An Incremental Improvement'](https://arxiv.org/abs/1804.02767)) +- ChannelNet (['ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions'](https://arxiv.org/abs/1809.01330)) +- iSQRT-COV-ResNet (['Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization'](https://arxiv.org/abs/1712.01034)) +- RevNet (['The Reversible Residual Network: Backpropagation Without Storing Activations'](https://arxiv.org/abs/1707.04585)) +- i-RevNet (['i-RevNet: Deep Invertible Networks'](https://arxiv.org/abs/1802.07088)) +- BagNet (['Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet'](https://openreview.net/pdf?id=SkfMWhAqYQ)) +- DLA (['Deep Layer Aggregation'](https://arxiv.org/abs/1707.06484)) +- MSDNet (['Multi-Scale Dense Networks for Resource Efficient Image Classification'](https://arxiv.org/abs/1703.09844)) +- FishNet (['FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction'](http://papers.nips.cc/paper/7356-fishnet-a-versatile-backbone-for-image-region-and-pixel-level-prediction.pdf)) +- ESPNetv2 (['ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network'](https://arxiv.org/abs/1811.11431)) +- DiCENet (['DiCENet: Dimension-wise Convolutions for Efficient Networks'](https://arxiv.org/abs/1906.03516)) +- HRNet (['Deep High-Resolution Representation Learning for Visual Recognition'](https://arxiv.org/abs/1908.07919)) +- VoVNet (['An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection'](https://arxiv.org/abs/1904.09730)) +- SelecSLS (['XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera'](https://arxiv.org/abs/1907.00837)) +- HarDNet (['HarDNet: A Low Memory Traffic Network'](https://arxiv.org/abs/1909.00948)) +- X-DenseNet (['Deep Expander Networks: Efficient Deep Networks from Graph Theory'](https://arxiv.org/abs/1711.08757)) +- SqueezeNet/SqueezeResNet (['SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size'](https://arxiv.org/abs/1602.07360)) +- SqueezeNext (['SqueezeNext: Hardware-Aware Neural Network Design'](https://arxiv.org/abs/1803.10615)) +- ShuffleNet (['ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices'](https://arxiv.org/abs/1707.01083)) +- ShuffleNetV2 (['ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design'](https://arxiv.org/abs/1807.11164)) +- MENet (['Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications'](https://arxiv.org/abs/1803.09127)) +- MobileNet (['MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications'](https://arxiv.org/abs/1704.04861)) +- FD-MobileNet (['FD-MobileNet: Improved MobileNet with A Fast Downsampling Strategy'](https://arxiv.org/abs/1802.03750)) +- MobileNetV2 (['MobileNetV2: Inverted Residuals and Linear Bottlenecks'](https://arxiv.org/abs/1801.04381)) +- MobileNetV3 (['Searching for MobileNetV3'](https://arxiv.org/abs/1905.02244)) +- IGCV3 (['IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks'](https://arxiv.org/abs/1806.00178)) +- GhostNet (['GhostNet: More Features from Cheap Operations'](https://arxiv.org/abs/1911.11907)) +- MnasNet (['MnasNet: Platform-Aware Neural Architecture Search for Mobile'](https://arxiv.org/abs/1807.11626)) +- DARTS (['DARTS: Differentiable Architecture Search'](https://arxiv.org/abs/1806.09055)) +- ProxylessNAS (['ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware'](https://arxiv.org/abs/1812.00332)) +- FBNet (['FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search'](https://arxiv.org/abs/1812.03443)) +- Xception (['Xception: Deep Learning with Depthwise Separable Convolutions'](https://arxiv.org/abs/1610.02357)) +- InceptionV3 (['Rethinking the Inception Architecture for Computer Vision'](https://arxiv.org/abs/1512.00567)) +- InceptionV4/InceptionResNetV1/InceptionResNetV2 (['Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning'](https://arxiv.org/abs/1602.07261)) +- PolyNet (['PolyNet: A Pursuit of Structural Diversity in Very Deep Networks'](https://arxiv.org/abs/1611.05725)) +- NASNet (['Learning Transferable Architectures for Scalable Image Recognition'](https://arxiv.org/abs/1707.07012)) +- PNASNet (['Progressive Neural Architecture Search'](https://arxiv.org/abs/1712.00559)) +- SPNASNet (['Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours'](https://arxiv.org/abs/1904.02877)) +- EfficientNet (['EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks'](https://arxiv.org/abs/1905.11946)) +- MixNet (['MixConv: Mixed Depthwise Convolutional Kernels'](https://arxiv.org/abs/1907.09595)) +- NIN (['Network In Network'](https://arxiv.org/abs/1312.4400)) +- RoR-3 (['Residual Networks of Residual Networks: Multilevel Residual Networks'](https://arxiv.org/abs/1608.02908)) +- RiR (['Resnet in Resnet: Generalizing Residual Architectures'](https://arxiv.org/abs/1603.08029)) +- ResDrop-ResNet (['Deep Networks with Stochastic Depth'](https://arxiv.org/abs/1603.09382)) +- Shake-Shake-ResNet (['Shake-Shake regularization'](https://arxiv.org/abs/1705.07485)) +- ShakeDrop-ResNet (['ShakeDrop Regularization for Deep Residual Learning'](https://arxiv.org/abs/1802.02375)) +- FractalNet (['FractalNet: Ultra-Deep Neural Networks without Residuals'](https://arxiv.org/abs/1605.07648)) +- NTS-Net (['Learning to Navigate for Fine-grained Classification'](https://arxiv.org/abs/1809.00287)) +- PSPNet (['Pyramid Scene Parsing Network'](https://arxiv.org/abs/1612.01105)) +- DeepLabv3 (['Rethinking Atrous Convolution for Semantic Image Segmentation'](https://arxiv.org/abs/1706.05587)) +- FCN-8s (['Fully Convolutional Networks for Semantic Segmentation'](https://arxiv.org/abs/1411.4038)) +- ICNet (['ICNet for Real-Time Semantic Segmentation on High-Resolution Images'](https://arxiv.org/abs/1704.08545)) +- Fast-SCNN (['Fast-SCNN: Fast Semantic Segmentation Network'](https://arxiv.org/abs/1902.04502)) +- CGNet (['CGNet: A Light-weight Context Guided Network for Semantic Segmentation'](https://arxiv.org/abs/1811.08201)) +- DABNet (['DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation'](https://arxiv.org/abs/1907.11357)) +- SINet (['SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder'](https://arxiv.org/abs/1911.09099)) +- BiSeNet (['BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation'](https://arxiv.org/abs/1808.00897)) +- DANet (['Dual Attention Network for Scene Segmentation'](https://arxiv.org/abs/1809.02983)) +- FPENet (['Feature Pyramid Encoding Network for Real-time Semantic Segmentation'](https://arxiv.org/abs/1909.08599)) +- ContextNet (['ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time'](https://arxiv.org/abs/1805.04554)) +- LEDNet (['LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation'](https://arxiv.org/abs/1905.02423)) +- ESNet (['ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation'](https://arxiv.org/abs/1906.09826)) +- EDANet (['Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation'](https://arxiv.org/abs/1809.06323)) +- ENet (['ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation'](https://arxiv.org/abs/1606.02147)) +- ERFNet (['ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation'](http://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17tits.pdf)) +- LinkNet (['LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation'](https://arxiv.org/abs/1707.03718)) +- SegNet (['SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation'](https://arxiv.org/abs/1511.00561)) +- U-Net (['U-Net: Convolutional Networks for Biomedical Image Segmentation'](https://arxiv.org/abs/1505.04597)) +- SQNet (['Speeding up Semantic Segmentation for Autonomous Driving'](https://openreview.net/pdf?id=S1uHiFyyg)) +- CenterNet (['Objects as Points'](https://arxiv.org/abs/1904.07850)) +- LFFD (['LFFD: A Light and Fast Face Detector for Edge Devices'](https://arxiv.org/abs/1904.10633)) +- AlphaPose (['RMPE: Regional Multi-person Pose Estimation'](https://arxiv.org/abs/1612.00137)) +- SimplePose (['Simple Baselines for Human Pose Estimation and Tracking'](https://arxiv.org/abs/1804.06208)) +- Lightweight OpenPose (['Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose'](https://arxiv.org/abs/1811.12004)) +- IBPPose (['Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation'](https://arxiv.org/abs/1911.10529)) +- PFPCNet (['Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks'](https://arxiv.org/abs/1609.06536)) +- VOCA (['Capture, Learning, and Synthesis of 3D Speaking Styles'](https://arxiv.org/abs/1905.03079)) +- Neural Voice Puppetry Audio-to-Expression net (['Neural Voice Puppetry: Audio-driven Facial Reenactment'](https://arxiv.org/abs/1912.05566)) +- Jasper/JasperDR (['Jasper: An End-to-End Convolutional Neural Acoustic Model'](https://arxiv.org/abs/1904.03288)) +- QuartzNet (['QuartzNet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions'](https://arxiv.org/abs/1910.10261)) + +## Installation + +To use the models in your project, simply install the `pytorchcv` package with `torch` (>=0.4.1 is recommended): +``` +pip install pytorchcv torch>=0.4.0 +``` +To enable/disable different hardware supports such as GPUs, check out PyTorch installation [instructions](https://pytorch.org). + +## Usage + +Example of using a pretrained ResNet-18 model: +``` +from pytorchcv.model_provider import get_model as ptcv_get_model +import torch +from torch.autograd import Variable + +net = ptcv_get_model("resnet18", pretrained=True) +x = Variable(torch.randn(1, 3, 224, 224)) +y = net(x) +``` + +## Pretrained models + +### ImageNet-1K + +Some remarks: +- Top1/Top5 are the standard 1-crop Top-1/Top-5 errors (in percents) on the validation subset of the ImageNet-1K dataset. +- FLOPs/2 is the number of FLOPs divided by two to be similar to the number of MACs. +- Remark `Converted from GL model` means that the model was trained on `MXNet/Gluon` and then converted to PyTorch. +- You may notice that quality estimations are quite different from ones for the corresponding models in other frameworks. This +is due to the fact that the quality is estimated on the standard TorchVision stack of image transformations. Using +OpenCV `Resize` transformation instead of PIL one quality evaluation results will be similar to ones for the Gluon models. +- ResNet(A) is an average downsampled ResNet intended for use as an feature extractor in some pose estimation networks. +- ResNet(D) is a dilated ResNet intended for use as an feature extractor in some segmentation networks. +- Models with *-suffix use non-standard preprocessing (see the training log). + +| Model | Top1 | Top5 | Params | FLOPs/2 | Remarks | +| --- | ---: | ---: | ---: | ---: | --- | +| AlexNet | 38.50 | 16.64 | 62,378,344 | 1,132.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/alexnet-1664-2768cdb3.pth.log)) | +| AlexNet-b | 39.74 | 17.47 | 61,100,840 | 714.83M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.485/alexnetb-1747-ac887bf7.pth.log)) | +| ZFNet | 39.79 | 17.27 | 62,357,608 | 1,170.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.395/zfnet-1727-d010ddca.pth.log)) | +| ZFNet-b | 36.37 | 14.90 | 107,627,624 | 2,479.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.400/zfnetb-1490-f6bec24e.pth.log)) | +| VGG-11 | 29.90 | 10.36 | 132,863,336 | 7,615.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.381/vgg11-1036-71e85f6e.pth.log)) | +| VGG-13 | 28.76 | 9.75 | 133,047,848 | 11,317.65M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.388/vgg13-0975-2b2c8770.pth.log)) | +| VGG-16 | 26.98 | 8.65 | 138,357,544 | 15,480.10M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.401/vgg16-0865-5ca155da.pth.log)) | +| VGG-19 | 25.74 | 7.90 | 143,667,240 | 19,642.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.420/vgg19-0790-9bd923a8.pth.log)) | +| BN-VGG-11 | 29.01 | 9.61 | 132,866,088 | 7,630.21M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.339/bn_vgg11-0961-10f01fba.pth.log)) | +| BN-VGG-13 | 27.83 | 9.13 | 133,050,792 | 11,341.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.353/bn_vgg13-0913-b1acd715.pth.log)) | +| BN-VGG-16 | 25.72 | 7.79 | 138,361,768 | 15,506.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.359/bn_vgg16-0779-0f570b92.pth.log)) | +| BN-VGG-19 | 24.13 | 7.12 | 143,672,744 | 19,671.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.360/bn_vgg19-0712-3f286cbd.pth.log)) | +| BN-VGG-11b | 29.56 | 9.96 | 132,868,840 | 7,630.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.407/bn_vgg11b-0996-ef747edc.pth.log)) | +| BN-VGG-13b | 28.47 | 9.24 | 133,053,736 | 11,342.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.488/bn_vgg13b-0924-5f313c53.pth.log)) | +| BN-VGG-16b | 25.97 | 7.95 | 138,365,992 | 15,507.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/bn_vgg16b-0795-bfff365a.pth.log)) | +| BN-VGG-19b | 25.13 | 7.46 | 143,678,248 | 19,672.26M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.490/bn_vgg19b-0746-f523b4e4.pth.log)) | +| BN-Inception | 25.37 | 7.74 | 11,295,240 | 2,048.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.405/bninception-0774-d79ba5f5.pth.log)) | +| ResNet-10 | 32.76 | 12.93 | 5,418,792 | 894.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/resnet10-1293-cedc302c.pth.log)) | +| ResNet-12 | 32.10 | 12.23 | 5,492,776 | 1,126.25M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.485/resnet12-1223-84a43cf6.pth.log)) | +| ResNet-14 | 30.51 | 11.09 | 5,788,200 | 1,357.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.491/resnet14-1109-b3132cbf.pth.log)) | +| ResNet-BC-14b | 29.43 | 10.74 | 10,064,936 | 1,479.12M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/resnetbc14b-1074-14b1fd95.pth.log)) | +| ResNet-16 | 28.74 | 10.09 | 6,968,872 | 1,589.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/resnet16-1009-4352d6a9.pth.log)) | +| ResNet-18 x0.25 | 39.62 | 17.85 | 3,937,400 | 270.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.262/resnet18_wd4-1785-fe79b31f.pth.log)) | +| ResNet-18 x0.5 | 33.80 | 13.27 | 5,804,296 | 608.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.263/resnet18_wd2-1327-6654f50a.pth.log)) | +| ResNet-18 x0.75 | 30.40 | 11.06 | 8,476,056 | 1,129.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.266/resnet18_w3d4-1106-3636648b.pth.log)) | +| ResNet-18 | 26.94 | 8.96 | 11,689,512 | 1,820.41M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.478/resnet18-0896-77a56f15.pth.log)) | +| ResNet-26 | 26.16 | 8.49 | 17,960,232 | 2,746.79M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/resnet26-0849-4bfbc640.pth.log)) | +| ResNet-BC-26b | 25.09 | 7.97 | 15,995,176 | 2,356.67M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.313/resnetbc26b-0797-7af52a73.pth.log)) | +| ResNet-34 | 24.84 | 7.80 | 21,797,672 | 3,672.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.291/resnet34-0780-3f775482.pth.log)) | +| ResNet-BC-38b | 23.69 | 7.00 | 21,925,416 | 3,234.21M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.328/resnetbc38b-0700-3fbac61d.pth.log)) | +| ResNet-50 | 22.28 | 6.33 | 25,557,032 | 3,877.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.329/resnet50-0633-b00d1c8e.pth.log)) | +| ResNet-50b | 22.39 | 6.38 | 25,557,032 | 4,110.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.308/resnet50b-0638-8a5473ef.pth.log)) | +| ResNet-101 | 20.79 | 5.40 | 44,549,160 | 7,597.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/resnet101-0540-65faf447.pth.log)) | +| ResNet-101b | 20.59 | 5.30 | 44,549,160 | 7,830.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.357/resnet101b-0530-f059ba3c.pth.log)) | +| ResNet-152 | 19.29 | 4.68 | 60,192,808 | 11,321.85M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.518/resnet152-0468-d46977dd.pth.log)) | +| ResNet-152b | 19.01 | 4.45 | 60,192,808 | 11,554.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.517/resnet152b-0445-2f420307.pth.log)) | +| PreResNet-10 | 35.11 | 14.21 | 5,417,128 | 894.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.249/preresnet10-1421-b3973cd4.pth.log)) | +| PreResNet-12 | 33.86 | 13.48 | 5,491,112 | 1,126.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.257/preresnet12-1348-563066fa.pth.log)) | +| PreResNet-14 | 32.64 | 12.39 | 5,786,536 | 1,358.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.260/preresnet14-1239-4be725fd.pth.log)) | +| PreResNet-BC-14b | 31.29 | 11.81 | 10,057,384 | 1,476.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.315/preresnetbc14b-1181-a68d31c3.pth.log)) | +| PreResNet-16 | 30.53 | 11.08 | 6,967,208 | 1,589.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.261/preresnet16-1108-06d8c87e.pth.log)) | +| PreResNet-18 x0.25 | 40.06 | 18.11 | 3,935,960 | 270.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.272/preresnet18_wd4-1811-41135c15.pth.log)) | +| PreResNet-18 x0.5 | 34.00 | 13.40 | 5,802,440 | 608.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.273/preresnet18_wd2-1340-c1fe4e31.pth.log)) | +| PreResNet-18 x0.75 | 30.23 | 11.05 | 8,473,784 | 1,129.51M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.274/preresnet18_w3d4-1105-ed2f9ca4.pth.log)) | +| PreResNet-18 | 28.43 | 9.72 | 11,687,848 | 1,820.56M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.140/preresnet18-0972-5651bc2d.pth.log)) | +| PreResNet-26 | 26.33 | 8.51 | 17,958,568 | 2,746.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.316/preresnet26-0851-99e7d6cc.pth.log)) | +| PreResNet-BC-26b | 25.48 | 8.03 | 15,987,624 | 2,354.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.325/preresnetbc26b-0803-d7283bdd.pth.log)) | +| PreResNet-34 | 24.89 | 7.74 | 21,796,008 | 3,672.83M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.300/preresnet34-0774-fd5bd1e8.pth.log)) | +| PreResNet-BC-38b | 22.92 | 6.57 | 21,917,864 | 3,231.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.348/preresnetbc38b-0657-9e523bb9.pth.log)) | +| PreResNet-50 | 22.40 | 6.47 | 25,549,480 | 3,875.44M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.330/preresnet50-0647-222ca73b.pth.log)) | +| PreResNet-50b | 22.51 | 6.55 | 25,549,480 | 4,107.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.307/preresnet50b-0655-8b60378e.pth.log)) | +| PreResNet-101 | 20.81 | 5.63 | 44,541,608 | 7,595.44M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.504/preresnet101-0563-8ec82f7d.pth.log)) | +| PreResNet-101b | 21.04 | 5.56 | 44,541,608 | 7,827.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.351/preresnet101b-0556-76bfe6d0.pth.log)) | +| PreResNet-152 | 19.36 | 4.64 | 60,185,256 | 11,319.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.510/preresnet152-0464-baeb6c52.pth.log)) | +| PreResNet-152b | 19.23 | 4.59 | 60,185,256 | 11,551.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.523/preresnet152b-0459-42c9fbcf.pth.log)) | +| PreResNet-200b | 19.07 | 4.68 | 64,666,280 | 15,068.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.529/preresnet200b-0468-f82215f3.pth.log)) | +| PreResNet-269b | 20.35 | 5.27 | 102,065,832 | 20,101.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.545/preresnet269b-0527-f38eca01.pth.log)) | +| ResNeXt-14 (16x4d) | 31.94 | 12.48 | 7,127,336 | 1,045.77M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.370/resnext14_16x4d-1248-35ffac2a.pth.log)) | +| ResNeXt-14 (32x2d) | 32.58 | 12.81 | 7,029,416 | 1,031.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.371/resnext14_32x2d-1281-14521186.pth.log)) | +| ResNeXt-14 (32x4d) | 30.32 | 11.46 | 9,411,880 | 1,603.46M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.327/resnext14_32x4d-1146-89aa6793.pth.log)) | +| ResNeXt-26 (32x2d) | 26.63 | 8.87 | 9,924,136 | 1,461.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.373/resnext26_32x2d-0887-c3bd1307.pth.log)) | +| ResNeXt-26 (32x4d) | 24.14 | 7.46 | 15,389,480 | 2,488.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.332/resnext26_32x4d-0746-1011ac35.pth.log)) | +| ResNeXt-50 (32x4d) | 21.08 | 5.60 | 25,028,904 | 4,255.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.498/resnext50_32x4d-0560-d7976503.pth.log)) | +| ResNeXt-101 (32x4d) | 18.78 | 4.34 | 44,177,704 | 8,003.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/resnext101_32x4d-0434-5ac16598.pth.log)) | +| ResNeXt-101 (64x4d) | 19.08 | 4.52 | 83,455,272 | 15,500.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.544/resnext101_64x4d-0452-60d1913e.pth.log)) | +| SE-ResNet-10 | 31.76 | 12.02 | 5,463,332 | 894.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/seresnet10-1202-8dace12e.pth.log)) | +| SE-ResNet-12 | 31.93 | 12.00 | 5,537,896 | 1,126.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.544/seresnet12-1200-81d5406e.pth.log)) | +| SE-ResNet-14 | 30.73 | 11.28 | 5,835,504 | 1,358.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.545/seresnet14-1128-2afa45c6.pth.log)) | +| SE-ResNet-16 | 28.72 | 9.98 | 7,024,640 | 1,589.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.545/seresnet16-0998-e2c666dd.pth.log)) | +| SE-ResNet-18 | 28.18 | 9.61 | 11,778,592 | 1,820.88M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.355/seresnet18-0961-022123a5.pth.log)) | +| SE-ResNet-26 | 25.67 | 8.24 | 18,093,852 | 2,747.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.363/seresnet26-0824-64fc8759.pth.log)) | +| SE-ResNet-BC-26b | 23.59 | 7.03 | 17,395,976 | 2,359.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.366/seresnetbc26b-0703-b98d9d6a.pth.log)) | +| SE-ResNet-BC-38b | 21.60 | 5.95 | 24,026,616 | 3,238.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.374/seresnetbc38b-0595-03671c05.pth.log)) | +| SE-ResNet-50 | 21.22 | 5.75 | 28,088,024 | 3,883.25M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.441/seresnet50-0575-004bfde4.pth.log)) | +| SE-ResNet-50b | 20.79 | 5.39 | 28,088,024 | 4,115.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.387/seresnet50b-0539-459e6871.pth.log)) | +| SE-ResNet-101 | 19.24 | 4.60 | 49,326,872 | 7,602.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.533/seresnet101-0460-37851448.pth.log)) | +| SE-ResNet-101b | 19.70 | 4.87 | 49,326,872 | 7,839.75M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.460/seresnet101b-0487-b83a20fd.pth.log)) | +| SE-ResNet-152 | 18.72 | 4.39 | 66,821,848 | 11,328.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.538/seresnet152-0439-7a6b02ac.pth.log)) | +| SE-PreResNet-10 | 32.83 | 12.57 | 5,461,668 | 894.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.544/sepreresnet10-1257-a08d5c61.pth.log)) | +| SE-PreResNet-12 | 32.07 | 12.03 | 5,536,232 | 1,126.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/sepreresnet12-1203-4f8d63e2.pth.log)) | +| SE-PreResNet-16 | 28.77 | 9.75 | 7,022,976 | 1,589.91M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/sepreresnet16-0975-251c11a4.pth.log)) | +| SE-PreResNet-18 | 27.43 | 9.09 | 11,776,928 | 1,821.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/sepreresnet18-0909-cd3cc116.pth.log)) | +| SE-PreResNet-26 | 26.20 | 8.22 | 18,092,188 | 2,747.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/sepreresnet26-0822-2c73c690.pth.log)) | +| SE-PreResNet-BC-26b | 23.22 | 6.60 | 17,388,424 | 2,357.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.399/sepreresnetbc26b-0660-f750b2f5.pth.log)) | +| SE-PreResNet-BC-38b | 21.60 | 5.78 | 24,019,064 | 3,236.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.409/sepreresnetbc38b-0578-12827fcd.pth.log)) | +| SE-PreResNet-50b | 20.85 | 5.49 | 28,080,472 | 4,113.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.461/sepreresnet50b-0549-4628a07d.pth.log)) | +| SE-ResNeXt-50 (32x4d) | 18.94 | 4.51 | 27,559,896 | 4,261.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/seresnext50_32x4d-0451-52029a7f.pth.log)) | +| SE-ResNeXt-101 (32x4d) | 19.36 | 4.67 | 48,955,416 | 8,012.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.529/seresnext101_32x4d-0467-c738e758.pth.log)) | +| SE-ResNeXt-101 (64x4d) | 18.66 | 4.28 | 88,232,984 | 15,509.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.561/seresnext101_64x4d-0428-ea9d98df.pth.log)) | +| SENet-16 | 25.65 | 8.20 | 31,366,168 | 5,081.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.341/senet16-0820-373aeafd.pth.log)) | +| SENet-28 | 21.94 | 5.98 | 36,453,768 | 5,732.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.356/senet28-0598-27165b63.pth.log)) | +| SENet-154 | 18.85 | 4.55 | 115,088,984 | 20,745.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.522/senet154-0455-95dbccbe.pth.log)) | +| ResNeSt(A)-BC-14 | 22.46 | 6.47 | 10,611,688 | 2,767.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/resnestabc14-0647-0c3d9e34.pth.log)) | +| ResNeSt(A)-18 | 23.68 | 7.07 | 12,763,784 | 2,587.50M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/resnesta18-0707-efca5a69.pth.log)) | +| ResNeSt(A)-BC-26 | 19.56 | 4.76 | 17,069,448 | 3,646.57M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/resnestabc26-0476-7d97b206.pth.log)) | +| ResNeSt(A)-50 | 19.00 | 4.49 | 27,483,240 | 5,403.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.531/resnesta50-0449-8ebaf2c7.pth.log)) | +| ResNeSt(A)-101 | 17.83 | 4.03 | 48,275,016 | 10,247.88M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta101-0403-61e14773.pth.log)) | +| ResNeSt(A)-152 | 18.87 | 4.63 | 65,316,040 | 13,976.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.540/resnesta152-0463-42e22fed.pth.log)) | +| ResNeSt(A)-200 | 16.87 | 3.39 | 70,201,544 | 22,857.88M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta200-0339-6dc30087.pth.log)) | +| ResNeSt(A)-269 | 16.47 | 3.38 | 110,929,480 | 46,012.95M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta269-0338-6a555ce8.pth.log)) | +| IBN-ResNet-50 | 21.61 | 5.76 | 25,557,032 | 4,110.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/ibn_resnet50-0576-40c420fc.pth.log)) | +| IBN-ResNet-101 | 19.97 | 5.07 | 44,549,160 | 7,830.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.552/ibn_resnet101-0507-6f488f24.pth.log)) | +| IBN(b)-ResNet-50 | 21.79 | 5.97 | 25,558,568 | 4,112.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.552/ibnb_resnet50-0597-383b4432.pth.log)) | +| IBN-ResNeXt-101 (32x4d) | 20.10 | 5.12 | 44,177,704 | 8,003.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.553/ibn_resnext101_32x4d-0512-73534cc4.pth.log)) | +| IBN-DenseNet-121 | 23.58 | 6.73 | 7,978,856 | 2,872.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/ibn_densenet121-0673-0ea2c535.pth.log)) | +| IBN-DenseNet-169 | 22.42 | 6.19 | 14,149,480 | 3,403.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.500/ibn_densenet169-0619-ec2c0556.pth.log)) | +| AirNet50-1x64d (r=2) | 20.63 | 5.32 | 27,425,864 | 4,772.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.522/airnet50_1x64d_r2-0532-398445f4.pth.log)) | +| AirNet50-1x64d (r=16) | 21.24 | 5.60 | 25,714,952 | 4,399.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.519/airnet50_1x64d_r16-0560-d46d344b.pth.log)) | +| AirNeXt50-32x4d (r=2) | 20.14 | 5.15 | 27,604,296 | 5,339.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.521/airnext50_32x4d_r2-0515-85f13273.pth.log)) | +| BAM-ResNet-50 | 20.91 | 5.47 | 25,915,099 | 4,196.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/bam_resnet50-0547-a04adf3c.pth.log)) | +| CBAM-ResNet-50 | 20.17 | 5.05 | 28,089,624 | 4,116.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.537/cbam_resnet50-0505-d8cf8488.pth.log)) | +| SCNet-50 | 21.22 | 5.47 | 25,564,584 | 3,951.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/scnet50-0547-18741240.pth.log)) | +| SCNet-101 | 19.91 | 4.84 | 44,565,416 | 7,204.24M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.507/scnet101-0484-13801569.pth.log)) | +| SCNet(A)-50 | 19.53 | 4.68 | 25,583,816 | 4,715.84M | From [MCG-NKU/SCNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.472/scneta50-0468-eb3c25d6.pth.log)) | +| RegNetX-200MF | 30.20 | 10.66 | 2,684,792 | 203.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.475/regnetx002-1066-e389d6ce.pth.log)) | +| RegNetX-400MF | 26.44 | 8.66 | 5,157,512 | 403.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.479/regnetx004-0866-9584cc0b.pth.log)) | +| RegNetX-600MF | 24.96 | 7.91 | 6,196,040 | 608.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.482/regnetx006-0791-30ca597a.pth.log)) | +| RegNetX-800MF | 24.21 | 7.40 | 7,259,656 | 809.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.482/regnetx008-0740-157abf5e.pth.log)) | +| RegNetX-1.6GF | 22.44 | 6.37 | 9,190,136 | 1,618.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/regnetx016-0637-6de8a97b.pth.log)) | +| RegNetX-3.2GF | 21.48 | 5.92 | 15,296,552 | 3,199.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.492/regnetx032-0592-75dc82ab.pth.log)) | +| RegNetX-4.0GF | 19.69 | 4.88 | 22,118,248 | 3,986.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/regnetx040-0488-b891108c.pth.log)) | +| RegNetX-6.4GF | 19.50 | 4.68 | 26,209,256 | 6,491.01M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.535/regnetx064-0468-bea758f9.pth.log)) | +| RegNetX-8.0GF | 19.75 | 4.86 | 39,572,648 | 8,017.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.515/regnetx080-0486-1d94db03.pth.log)) | +| RegNetX-12GF | 20.02 | 5.32 | 46,106,056 | 12,124.22M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.542/regnetx120-0532-a93ee3a7.pth.log)) | +| RegNetX-16GF | 19.29 | 4.77 | 54,278,536 | 15,986.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.532/regnetx160-0477-bd9f3534.pth.log)) | +| RegNetX-32GF | 18.00 | 4.13 | 107,811,560 | 31,790.24M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.548/regnetx320-0413-34bc3cd2.pth.log)) | +| RegNetY-200MF | 28.66 | 9.80 | 3,162,996 | 203.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.476/regnety002-0980-57f04168.pth.log)) | +| RegNetY-400MF | 25.02 | 7.69 | 4,344,144 | 410.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/regnety004-0769-8c36573f.pth.log)) | +| RegNetY-600MF | 23.79 | 7.12 | 6,055,160 | 610.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/regnety006-0712-d6401a37.pth.log)) | +| RegNetY-800MF | 22.67 | 6.60 | 6,263,168 | 808.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/regnety008-0660-ed298c23.pth.log)) | +| RegNetY-1.6GF | 21.41 | 5.81 | 11,202,430 | 1,629.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/regnety016-0581-b45eccd6.pth.log)) | +| RegNetY-3.2GF | 18.04 | 4.04 | 19,436,338 | 3,199.15M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnety032-0404-cb331486.pth.log)) | +| RegNetY-4.0GF | 19.56 | 4.70 | 20,646,656 | 3,999.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.494/regnety040-0470-052d7681.pth.log)) | +| RegNetY-6.4GF | 19.03 | 4.56 | 30,583,252 | 6,388.91M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.513/regnety064-0456-bff39135.pth.log)) | +| RegNetY-8.0GF | 18.91 | 4.48 | 39,180,068 | 7,996.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.516/regnety080-0448-c084bf6a.pth.log)) | +| RegNetY-12GF | 18.67 | 4.42 | 51,822,544 | 12,132.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.526/regnety120-0442-bf259560.pth.log)) | +| RegNetY-16GF | 18.82 | 4.44 | 83,590,140 | 15,944.53M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.527/regnety160-0444-e7e05d91.pth.log)) | +| RegNetY-32GF | 17.92 | 3.83 | 145,046,770 | 32,317.66M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.550/regnety320-0383-a8b16205.pth.log)) | +| PyramidNet-101 (a=360) | 20.53 | 5.43 | 42,455,070 | 8,743.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.507/pyramidnet101_a360-0543-7f1747f8.pth.log)) | +| DiracNetV2-18 | 31.47 | 11.70 | 11,511,784 | 1,796.62M | From [szagoruyko/diracnets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.111/diracnet18v2-1170-e0673770.pth.log)) | +| DiracNetV2-34 | 28.75 | 9.93 | 21,616,232 | 3,646.93M | From [szagoruyko/diracnets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.111/diracnet34v2-0993-a6a661c0.pth.log)) | +| DenseNet-121 | 23.48 | 7.04 | 7,978,856 | 2,872.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.314/densenet121-0704-cf90d139.pth.log)) | +| DenseNet-161 | 21.91 | 6.06 | 28,681,000 | 7,793.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.432/densenet161-0606-da489277.pth.log)) | +| DenseNet-169 | 22.42 | 6.29 | 14,149,480 | 3,403.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.406/densenet169-0629-44974a17.pth.log)) | +| DenseNet-201 | 21.78 | 6.12 | 20,013,928 | 4,347.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.426/densenet201-0612-6adc8625.pth.log)) | +| CondenseNet-74 (C=G=4) | 26.25 | 8.28 | 4,773,944 | 546.06M | From [ShichenLiu/CondenseNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.4/condensenet74_c4_g4-0828-5ba55049.pth.log)) | +| CondenseNet-74 (C=G=8) | 28.93 | 10.06 | 2,935,416 | 291.52M | From [ShichenLiu/CondenseNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.4/condensenet74_c8_g8-1006-3574d874.pth.log)) | +| PeleeNet | 29.41 | 10.04 | 2,802,248 | 514.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.496/peleenet-1004-5107a95d.pth.log)) | +| WRN-50-2 | 22.25 | 6.26 | 68,849,128 | 11,405.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.520/wrn50_2-0626-1e67b96c.pth.log)) | +| DRN-C-26 | 24.61 | 7.23 | 21,126,584 | 16,993.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.508/drnc26-0723-e7306483.pth.log)) | +| DRN-C-42 | 22.37 | 6.28 | 31,234,744 | 25,093.75M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.556/drnc42-0628-8817241f.pth.log)) | +| DRN-C-58 | 20.65 | 5.27 | 40,542,008 | 32,489.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.559/drnc58-0527-3f74be98.pth.log)) | +| DRN-D-22 | 24.86 | 7.58 | 16,393,752 | 13,051.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.498/drnd22-0758-02cb44bd.pth.log)) | +| DRN-D-38 | 22.94 | 6.43 | 26,501,912 | 21,151.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.552/drnd38-0643-496f648b.pth.log)) | +| DRN-D-54 | 20.40 | 5.17 | 35,809,176 | 28,547.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.554/drnd54-0517-caa3c85d.pth.log)) | +| DRN-D-105 | 20.62 | 5.48 | 54,801,304 | 43,442.43M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnd105-0548-a643f4dc.pth.log)) | +| DPN-68 | 23.24 | 6.79 | 12,611,602 | 2,351.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.310/dpn68-0679-a33c98c7.pth.log)) | +| DPN-98 | 18.44 | 4.30 | 61,570,728 | 11,716.51M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.540/dpn98-0430-50ff8ef6.pth.log)) | +| DPN-131 | 19.62 | 5.03 | 79,254,504 | 16,076.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.534/dpn131-0503-1765c5ee.pth.log)) | +| DarkNet Tiny | 40.74 | 17.84 | 1,042,104 | 500.85M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.69/darknet_tiny-1784-4561e1ad.pth.log)) | +| DarkNet Ref | 38.58 | 17.18 | 7,319,416 | 367.59M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.64/darknet_ref-1718-034595b4.pth.log)) | +| DarkNet-53 | 21.33 | 5.58 | 41,609,928 | 7,133.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.501/darknet53-0558-8be575a0.pth.log)) | +| i-RevNet-301 | 25.98 | 8.41 | 125,120,356 | 14,453.87M | From [jhjacobsen/pytorch-i-revnet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.251/irevnet301-0841-95dc8d94.pth.log)) | +| BagNet-9 | 49.15 | 25.76 | 15,688,744 | 16,049.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.553/bagnet9-2576-36d935e1.pth.log)) | +| BagNet-17 | 36.88 | 15.51 | 16,213,032 | 15,768.77M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.558/bagnet17-1551-04da269c.pth.log)) | +| BagNet-33 | 29.82 | 10.70 | 18,310,184 | 16,371.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.561/bagnet33-1070-7d16b6f4.pth.log)) | +| DLA-34 | 24.59 | 7.24 | 15,742,104 | 3,071.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/dla34-0724-649c67e6.pth.log)) | +| DLA-46-C | 34.28 | 13.23 | 1,301,400 | 585.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.282/dla46c-1323-efcd3636.pth.log)) | +| DLA-X-46-C | 33.26 | 12.69 | 1,068,440 | 546.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.293/dla46xc-1269-00d3754a.pth.log)) | +| DLA-60 | 21.47 | 5.70 | 22,036,632 | 4,255.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.494/dla60-0570-f8ea80aa.pth.log)) | +| DLA-X-60 | 21.07 | 5.75 | 17,352,344 | 3,543.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/dla60x-0575-fae6dc6d.pth.log)) | +| DLA-X-60-C | 30.98 | 10.91 | 1,319,832 | 596.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.289/dla60xc-1091-0f6381f3.pth.log)) | +| DLA-102 | 20.69 | 5.37 | 33,268,888 | 7,190.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/dla102-0537-fdabf0c3.pth.log)) | +| DLA-X-102 | 19.70 | 4.88 | 26,309,272 | 5,884.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.528/dla102x-0488-b1727759.pth.log)) | +| DLA-X2-102 | 18.84 | 4.37 | 41,282,200 | 9,340.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.542/dla102x2-0437-8922a457.pth.log)) | +| DLA-169 | 19.39 | 4.71 | 53,389,720 | 11,593.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.539/dla169-0471-402f95f0.pth.log)) | +| FishNet-150 | 19.26 | 4.75 | 24,959,400 | 6,435.05M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.502/fishnet150-0475-93e26daa.pth.log)) | +| ESPNetv2 x0.5 | 42.32 | 20.15 | 1,241,332 | 35.36M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_wd2-2015-d234781f.pth.log)) | +| ESPNetv2 x1.0 | 33.92 | 13.45 | 1,670,072 | 98.09M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w1-1345-550d5422.pth.log)) | +| ESPNetv2 x1.25 | 32.06 | 12.18 | 1,965,440 | 138.18M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w5d4-1218-85d97b2b.pth.log)) | +| ESPNetv2 x1.5 | 30.83 | 11.29 | 2,314,856 | 185.77M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w3d2-1129-3bbb49ad.pth.log)) | +| ESPNetv2 x2.0 | 27.94 | 9.61 | 3,498,136 | 306.93M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w2-0961-13ba0f72.pth.log)) | +| DiCENet x0.2 | 53.91 | 29.38 | 1,130,704 | 18.76M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_wd5-2938-2d721aa1.pth.log)) | +| DiCENet x0.5 | 46.16 | 22.58 | 1,214,120 | 30.48M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_wd2-2258-4f35289a.pth.log)) | +| DiCENet x0.75 | 37.06 | 15.74 | 1,495,676 | 55.80M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w3d4-1574-29d7d14f.pth.log)) | +| DiCENet x1.0 | 33.59 | 13.25 | 1,805,604 | 82.17M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w1-1325-d3648c4c.pth.log)) | +| DiCENet x1.25 | 32.26 | 12.40 | 2,162,888 | 111.87M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w5d4-1240-8c4dd6f6.pth.log)) | +| DiCENet x1.5 | 30.55 | 11.23 | 2,652,200 | 151.81M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w3d2-1123-e5c5db64.pth.log)) | +| DiCENet x1.75 | 29.76 | 10.62 | 3,264,932 | 201.26M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w7d8-1062-8b599d46.pth.log)) | +| DiCENet x2.0 | 28.95 | 10.19 | 3,979,044 | 257.95M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w2-1019-44e2153f.pth.log)) | +| HRNet-W18 Small V1 | 26.48 | 9.01 | 13,187,464 | 1,615.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.492/hrnet_w18_small_v1-0901-30023064.pth.log)) | +| HRNet-W18 Small V2 | 21.93 | 6.18 | 15,597,464 | 2,618.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/hrnet_w18_small_v2-0618-ef7b1fe4.pth.log)) | +| HRNetV2-W18 | 20.20 | 5.12 | 21,299,004 | 4,323.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.508/hrnetv2_w18-0512-9d2b7fbf.pth.log)) | +| HRNetV2-W30 | 20.35 | 5.21 | 37,712,220 | 8,156.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.525/hrnetv2_w30-0521-73d7e48d.pth.log)) | +| HRNetV2-W32 | 19.96 | 5.06 | 41,232,680 | 8,974.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.528/hrnetv2_w32-0506-4aaf8a21.pth.log)) | +| HRNetV2-W40 | 19.84 | 4.93 | 57,557,160 | 12,752.26M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.534/hrnetv2_w40-0493-6f6d22d3.pth.log)) | +| HRNetV2-W44 | 19.74 | 5.01 | 67,064,984 | 14,946.96M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.541/hrnetv2_w44-0501-ec40e545.pth.log)) | +| HRNetV2-W48 | 19.67 | 5.00 | 77,469,864 | 17,345.39M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.541/hrnetv2_w48-0500-0554b840.pth.log)) | +| HRNetV2-W64 | 19.67 | 4.87 | 128,059,944 | 28,976.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/hrnetv2_w64-0487-108e78b1.pth.log)) | +| VoVNet-27-slim | 29.78 | 9.97 | 3,525,736 | 2,187.25M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.551/vovnet27s-0997-b7a5bf67.pth.log)) | +| VoVNet-39 | 21.71 | 5.64 | 22,600,296 | 7,086.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/vovnet39-0564-63bfa613.pth.log)) | +| VoVNet-57 | 20.33 | 5.18 | 36,640,296 | 8,943.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/vovnet57-0518-c080e471.pth.log)) | +| SelecSLS-42b | 21.93 | 6.11 | 32,458,248 | 2,980.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/selecsls42b-0611-acff1e8b.pth.log)) | +| SelecSLS-60 | 20.35 | 5.29 | 30,670,768 | 3,591.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.496/selecsls60-0529-1e1b05bc.pth.log)) | +| SelecSLS-60b | 20.85 | 5.59 | 32,774,064 | 3,629.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/selecsls60b-0559-a0e7b4ef.pth.log)) | +| HarDNet-39DS | 26.83 | 8.81 | 3,488,228 | 437.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.485/hardnet39ds-0881-ea47fc93.pth.log)) | +| HarDNet-68DS | 24.55 | 7.56 | 4,180,602 | 788.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.487/hardnet68ds-0756-e0da0750.pth.log)) | +| HarDNet-68 | 23.51 | 6.99 | 17,565,348 | 4,256.32M | From [PingoLH/Pytorch-HarDNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.435/hardnet68-0699-2e207f79.pth.log)) | +| HarDNet-85 | 22.00 | 5.86 | 36,670,212 | 9,088.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/hardnet85-0586-39d80e93.pth.log)) | +| SqueezeNet v1.0 | 39.29 | 17.66 | 1,248,424 | 823.67M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.128/squeezenet_v1_0-1766-afdbcf1a.pth.log)) | +| SqueezeNet v1.1 | 39.31 | 17.72 | 1,235,496 | 352.02M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.88/squeezenet_v1_1-1772-25b77bc3.pth.log)) | +| SqueezeResNet v1.0 | 39.77 | 18.09 | 1,248,424 | 823.67M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.178/squeezeresnet_v1_0-1809-25bfc02e.pth.log)) | +| SqueezeResNet v1.1 | 40.09 | 18.21 | 1,235,496 | 352.02M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.70/squeezeresnet_v1_1-1821-c27ed88f.pth.log)) | +| 1.0-SqNxt-23 | 42.51 | 19.06 | 724,056 | 287.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.171/sqnxt23_w1-1906-97b74e0c.pth.log)) | +| 1.0-SqNxt-23v5 | 40.77 | 17.85 | 921,816 | 285.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.172/sqnxt23v5_w1-1785-2fe3ad67.pth.log)) | +| 1.5-SqNxt-23 | 34.89 | 13.50 | 1,511,824 | 552.39M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.210/sqnxt23_w3d2-1350-c2f21bce.pth.log)) | +| 1.5-SqNxt-23v5 | 33.81 | 13.01 | 1,953,616 | 550.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.212/sqnxt23v5_w3d2-1301-c244844b.pth.log)) | +| 2.0-SqNxt-23 | 30.62 | 11.00 | 2,583,752 | 898.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.240/sqnxt23_w2-1100-b9bb7302.pth.log)) | +| 2.0-SqNxt-23v5 | 29.63 | 10.66 | 3,366,344 | 897.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.216/sqnxt23v5_w2-1066-229b0d3d.pth.log)) | +| ShuffleNet x0.25 (g=1) | 62.44 | 37.29 | 209,746 | 12.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.134/shufflenet_g1_wd4-3729-47dbd0f2.pth.log)) | +| ShuffleNet x0.25 (g=3) | 61.74 | 36.53 | 305,902 | 13.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.135/shufflenet_g3_wd4-3653-6abdd65e.pth.log)) | +| ShuffleNet x0.5 (g=1) | 46.59 | 22.61 | 534,484 | 41.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.174/shufflenet_g1_wd2-2261-dae4bdad.pth.log)) | +| ShuffleNet x0.5 (g=3) | 44.16 | 20.80 | 718,324 | 41.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.167/shufflenet_g3_wd2-2080-ccaacfc8.pth.log)) | +| ShuffleNet x0.75 (g=1) | 39.58 | 17.11 | 975,214 | 86.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.218/shufflenet_g1_w3d4-1711-161cd24a.pth.log)) | +| ShuffleNet x0.75 (g=3) | 38.20 | 16.50 | 1,238,266 | 85.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.219/shufflenet_g3_w3d4-1650-3f3b0aef.pth.log)) | +| ShuffleNet x1.0 (g=1) | 34.93 | 13.89 | 1,531,936 | 148.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.223/shufflenet_g1_w1-1389-4cfb65a3.pth.log)) | +| ShuffleNet x1.0 (g=2) | 34.25 | 13.63 | 1,733,848 | 147.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.241/shufflenet_g2_w1-1363-07256203.pth.log)) | +| ShuffleNet x1.0 (g=3) | 34.39 | 13.48 | 1,865,728 | 145.46M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.244/shufflenet_g3_w1-1348-ce54f64e.pth.log)) | +| ShuffleNet x1.0 (g=4) | 34.19 | 13.35 | 1,968,344 | 143.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.245/shufflenet_g4_w1-1335-e2415f82.pth.log)) | +| ShuffleNet x1.0 (g=8) | 34.06 | 13.42 | 2,434,768 | 150.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.250/shufflenet_g8_w1-1342-9a979b36.pth.log)) | +| ShuffleNetV2 x0.5 | 40.99 | 18.65 | 1,366,792 | 43.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.90/shufflenetv2_wd2-1865-9c22238b.pth.log)) | +| ShuffleNetV2 x1.0 | 31.44 | 11.63 | 2,278,604 | 149.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.133/shufflenetv2_w1-1163-c71dfb7a.pth.log)) | +| ShuffleNetV2 x1.5 | 27.47 | 9.42 | 4,406,098 | 320.77M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.288/shufflenetv2_w3d2-0942-26a92304.pth.log)) | +| ShuffleNetV2 x2.0 | 25.94 | 8.45 | 7,601,686 | 595.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.301/shufflenetv2_w2-0845-337255f6.pth.log)) | +| ShuffleNetV2b x0.5 | 40.29 | 18.22 | 1,366,792 | 43.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.157/shufflenetv2b_wd2-1822-01d18d6f.pth.log)) | +| ShuffleNetV2b x1.0 | 30.62 | 11.25 | 2,279,760 | 150.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.161/shufflenetv2b_w1-1125-6a5d3dc4.pth.log)) | +| ShuffleNetV2b x1.5 | 27.31 | 9.11 | 4,410,194 | 323.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.203/shufflenetv2b_w3d2-0911-f2106fee.pth.log)) | +| ShuffleNetV2b x2.0 | 25.58 | 8.34 | 7,611,290 | 603.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.242/shufflenetv2b_w2-0834-cb36b92c.pth.log)) | +| 108-MENet-8x1 (g=3) | 43.94 | 20.76 | 654,516 | 42.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.89/menet108_8x1_g3-2076-6acc82e4.pth.log)) | +| 128-MENet-8x1 (g=4) | 42.43 | 19.59 | 750,796 | 45.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.103/menet128_8x1_g4-1959-48fa80fc.pth.log)) | +| 160-MENet-8x1 (g=8) | 43.84 | 20.84 | 850,120 | 45.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.154/menet160_8x1_g8-2084-0f4fce43.pth.log)) | +| 228-MENet-12x1 (g=3) | 34.11 | 13.16 | 1,806,568 | 152.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.131/menet228_12x1_g3-1316-5b670c42.pth.log)) | +| 256-MENet-12x1 (g=4) | 32.65 | 12.52 | 1,888,240 | 150.65M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.152/menet256_12x1_g4-1252-14c6c86d.pth.log)) | +| 348-MENet-12x1 (g=3) | 28.24 | 9.58 | 3,368,128 | 312.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.173/menet348_12x1_g3-0958-ad50f635.pth.log)) | +| 352-MENet-12x1 (g=8) | 31.56 | 12.00 | 2,272,872 | 157.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.198/menet352_12x1_g8-1200-4ee200c5.pth.log)) | +| 456-MENet-24x1 (g=3) | 25.32 | 7.99 | 5,304,784 | 567.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.237/menet456_24x1_g3-0799-826c0022.pth.log)) | +| MobileNet x0.25 | 46.26 | 22.49 | 470,072 | 44.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.62/mobilenet_wd4-2249-1ad5e8fe.pth.log)) | +| MobileNet x0.5 | 34.15 | 13.55 | 1,331,592 | 155.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.156/mobilenet_wd2-1355-41a21242.pth.log)) | +| MobileNet x0.75 | 30.14 | 10.76 | 2,585,560 | 333.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.130/mobilenet_w3d4-1076-d801bcae.pth.log)) | +| MobileNet x1.0 | 26.61 | 8.95 | 4,231,976 | 579.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.155/mobilenet_w1-0895-7e1d739f.pth.log)) | +| MobileNetb x0.25 | 45.51 | 22.01 | 467,592 | 42.88M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/mobilenetb_wd4-2201-428da928.pth.log)) | +| MobileNetb x0.5 | 33.42 | 13.10 | 1,326,632 | 153.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.480/mobilenetb_wd2-1310-d1549ead.pth.log)) | +| MobileNetb x0.75 | 29.55 | 10.37 | 2,578,120 | 330.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/mobilenetb_w3d4-1037-8d732bc9.pth.log)) | +| MobileNetb x1.0 | 25.45 | 8.16 | 4,222,056 | 574.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/mobilenetb_w1-0816-107275a1.pth.log)) | +| FD-MobileNet x0.25 | 55.86 | 30.98 | 383,160 | 12.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.177/fdmobilenet_wd4-3098-2b22b709.pth.log)) | +| FD-MobileNet x0.5 | 43.13 | 20.15 | 993,928 | 41.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.83/fdmobilenet_wd2-2015-414dbeed.pth.log)) | +| FD-MobileNet x0.75 | 38.42 | 16.41 | 1,833,304 | 86.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.159/fdmobilenet_w3d4-1641-5561d58a.pth.log)) | +| FD-MobileNet x1.0 | 34.23 | 13.38 | 2,901,288 | 147.46M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.162/fdmobilenet_w1-1338-9d026c04.pth.log)) | +| MobileNetV2 x0.25 | 48.34 | 24.51 | 1,516,392 | 34.24M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.137/mobilenetv2_wd4-2451-05e1e3a2.pth.log)) | +| MobileNetV2 x0.5 | 35.98 | 14.93 | 1,964,736 | 100.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.170/mobilenetv2_wd2-1493-b82d79f6.pth.log)) | +| MobileNetV2 x0.75 | 30.17 | 10.82 | 2,627,592 | 198.50M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.230/mobilenetv2_w3d4-1082-8656de5a.pth.log)) | +| MobileNetV2 x1.0 | 26.97 | 8.87 | 3,504,960 | 329.36M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.213/mobilenetv2_w1-0887-13a021bc.pth.log)) | +| MobileNetV2b x0.25 | 47.05 | 23.68 | 1,516,312 | 33.18M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/mobilenetv2b_wd4-2368-399f95e6.pth.log)) | +| MobileNetV2b x0.5 | 34.77 | 14.08 | 1,964,448 | 96.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/mobilenetv2b_wd2-1408-f820ea85.pth.log)) | +| MobileNetV2b x0.75 | 30.74 | 11.05 | 2,626,968 | 190.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/mobilenetv2b_w3d4-1105-0924efc9.pth.log)) | +| MobileNetV2b x1.0 | 27.70 | 9.12 | 3,503,872 | 315.51M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.483/mobilenetv2b_w1-0912-2bcab1d0.pth.log)) | +| MobileNetV3 L/224/1.0 | 24.55 | 7.44 | 5,481,752 | 227.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.491/mobilenetv3_large_w1-0744-b59cae6d.pth.log)) | +| IGCV3 x0.25 | 53.70 | 28.71 | 1,534,020 | 41.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.142/igcv3_wd4-2871-c9f28301.pth.log)) | +| IGCV3 x0.5 | 39.75 | 17.32 | 1,985,528 | 111.12M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.132/igcv3_wd2-1732-8c504f44.pth.log)) | +| IGCV3 x0.75 | 31.05 | 11.40 | 2,638,084 | 210.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.207/igcv3_w3d4-1140-63f43cf8.pth.log)) | +| IGCV3 x1.0 | 27.91 | 9.20 | 3,491,688 | 340.79M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.243/igcv3_w1-0920-12385791.pth.log)) | +| MnasNet-B1 | 24.96 | 7.40 | 4,383,312 | 326.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/mnasnet_b1-0740-7025b43c.pth.log)) | +| MnasNet-A1 | 24.39 | 7.20 | 3,887,038 | 326.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/mnasnet_a1-0720-e155916c.pth.log)) | +| DARTS | 25.31 | 7.75 | 4,718,752 | 539.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.485/darts-0775-fc3171c5.pth.log)) | +| ProxylessNAS CPU | 24.71 | 7.61 | 4,361,648 | 459.96M | From [MIT-HAN-LAB/ProxylessNAS] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.304/proxylessnas_cpu-0761-fe9572b1.pth.log)) | +| ProxylessNAS GPU | 24.79 | 7.45 | 7,119,848 | 476.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.333/proxylessnas_gpu-0745-acca5941.pth.log)) | +| ProxylessNAS Mobile | 25.41 | 7.80 | 4,080,512 | 332.46M | From [MIT-HAN-LAB/ProxylessNAS] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.304/proxylessnas_mobile-0780-639a90c2.pth.log)) | +| ProxylessNAS Mob-14 | 23.29 | 6.62 | 6,857,568 | 597.10M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.331/proxylessnas_mobile14-0662-0c0ad983.pth.log)) | +| FBNet-Cb | 24.89 | 7.62 | 5,572,200 | 399.26M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.415/fbnet_cb-0762-2edb61f8.pth.log)) | +| Xception | 20.35 | 5.16 | 22,855,952 | 8,403.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.544/xception-0516-a75b50ec.pth.log)) | +| InceptionV3 | 20.44 | 5.33 | 23,834,568 | 5,743.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.552/inceptionv3-0533-025fb71c.pth.log)) | +| InceptionV4 | 19.83 | 4.88 | 42,679,816 | 12,304.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.543/inceptionv4-0488-4ae4f331.pth.log)) | +| InceptionResNetV1 | 19.63 | 4.80 | 23,995,624 | 6,329.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.552/inceptionresnetv1-0480-f8b3e9e3.pth.log)) | +| InceptionResNetV2 | 19.40 | 4.74 | 55,843,464 | 13,188.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.547/inceptionresnetv2-0474-19f51781.pth.log)) | +| PolyNet | 19.10 | 4.52 | 95,366,600 | 34,821.34M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.96/polynet-0452-6a1b295d.pth.log)) | +| NASNet-A 4@1056 | 25.32 | 8.03 | 5,289,978 | 584.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/nasnet_4a1056-0803-44f5ecbe.pth.log)) | +| NASNet-A 6@4032 | 18.14 | 4.21 | 88,753,150 | 23,976.44M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.101/nasnet_6a4032-0421-f354d28f.pth.log)) | +| PNASNet-5-Large | 17.88 | 4.28 | 86,057,668 | 25,140.77M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.114/pnasnet5large-0428-65de46eb.pth.log)) | +| SPNASNet | 25.41 | 7.98 | 4,421,616 | 346.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.490/spnasnet-0798-a25ca157.pth.log)) | +| EfficientNet-B0 | 24.77 | 7.52 | 5,288,548 | 414.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.364/efficientnet_b0-0752-0e386130.pth.log)) | +| EfficientNet-B1 | 23.08 | 6.38 | 7,794,184 | 732.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.376/efficientnet_b1-0638-ac77bcd7.pth.log)) | +| EfficientNet-B0b | 23.88 | 7.02 | 5,288,548 | 414.31M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b0b-0702-ecf61b9b.pth.log)) | +| EfficientNet-B1b | 21.60 | 5.94 | 7,794,184 | 732.54M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b1b-0594-614e8166.pth.log)) | +| EfficientNet-B2b | 20.31 | 5.27 | 9,109,994 | 1,051.98M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b2b-0527-531f10e6.pth.log)) | +| EfficientNet-B3b | 18.83 | 4.45 | 12,233,232 | 1,928.55M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b3b-0445-3c5fbba8.pth.log)) | +| EfficientNet-B4b | 17.45 | 3.89 | 19,341,616 | 4,607.46M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b4b-0389-6305bfe6.pth.log)) | +| EfficientNet-B5b | 16.56 | 3.37 | 30,389,784 | 10,695.20M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b5b-0337-e1c2ffcf.pth.log)) | +| EfficientNet-B6b | 16.29 | 3.23 | 43,040,704 | 19,796.24M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b6b-0323-e5c1d7c3.pth.log)) | +| EfficientNet-B7b | 15.94 | 3.22 | 66,347,960 | 39,010.98M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b7b-0322-b9c5965a.pth.log)) | +| EfficientNet-B0c* | 22.92 | 6.75 | 5,288,548 | 414.31M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b0c-0675-21778c6e.pth.log)) | +| EfficientNet-B1c* | 20.73 | 5.69 | 7,794,184 | 732.54M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b1c-0569-239ed6a4.pth.log)) | +| EfficientNet-B2c* | 19.85 | 5.03 | 9,109,994 | 1,051.98M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b2c-0503-be48d3d7.pth.log)) | +| EfficientNet-B3c* | 18.26 | 4.42 | 12,233,232 | 1,928.55M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b3c-0442-ea7080ab.pth.log)) | +| EfficientNet-B4c* | 16.82 | 3.69 | 19,341,616 | 4,607.46M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b4c-0369-5954cc05.pth.log)) | +| EfficientNet-B5c* | 15.91 | 3.10 | 30,389,784 | 10,695.20M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b5c-0310-589fefc6.pth.log)) | +| EfficientNet-B6c* | 15.47 | 2.96 | 43,040,704 | 19,796.24M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b6c-0296-546e61da.pth.log)) | +| EfficientNet-B7c* | 15.13 | 2.88 | 66,347,960 | 39,010.98M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b7c-0288-13d683f2.pth.log)) | +| EfficientNet-B8c* | 14.85 | 2.76 | 87,413,142 | 64,541.66M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.433/efficientnet_b8c-0276-a9973d66.pth.log)) | +| EfficientNet-Edge-Small-b* | 22.74 | 6.40 | 5,438,392 | 2,378.12M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.434/efficientnet_edge_small_b-0640-e27c3444.pth.log)) | +| EfficientNet-Edge-Medium-b* | 21.18 | 5.63 | 6,899,496 | 3,700.12M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.434/efficientnet_edge_medium_b-0563-99fa34c7.pth.log)) | +| EfficientNet-Edge-Large-b* | 19.66 | 4.91 | 10,589,712 | 9,747.66M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.434/efficientnet_edge_large_b-0491-d502326f.pth.log)) | +| MixNet-S | 23.92 | 7.17 | 4,134,606 | 260.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/mixnet_s-0717-ab2c4e37.pth.log)) | +| MixNet-M | 22.45 | 6.47 | 5,014,382 | 366.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/mixnet_m-0647-4d90d345.pth.log)) | +| MixNet-L | 21.54 | 5.71 | 7,329,252 | 591.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.500/mixnet_l-0571-c686ba17.pth.log)) | +| ResNet(A)-10 | 31.29 | 11.90 | 5,438,024 | 1,135.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.484/resneta10-1190-a066e5e0.pth.log)) | +| ResNet(A)-BC-14 | 28.06 | 9.90 | 10,084,168 | 1,721.57M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.477/resnetabc14b-0990-bad51cb0.pth.log)) | +| ResNet(A)-18 | 25.54 | 8.31 | 11,708,744 | 2,062.24M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/resneta18-0831-e9f206f4.pth.log)) | +| ResNet(A)-50b | 21.03 | 5.56 | 25,576,264 | 4,352.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.492/resneta50b-0556-7cedbb3b.pth.log)) | +| ResNet(A)-101b | 19.13 | 4.53 | 44,568,392 | 8,072.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.532/resneta101b-0453-0f342545.pth.log)) | +| ResNet(A)-152b | 18.80 | 4.41 | 60,212,040 | 11,796.83M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.524/resneta152b-0441-c4b9bc9a.pth.log)) | +| ResNet(D)-50b | 21.04 | 5.65 | 25,680,808 | 20,497.60M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.296/resnetd50b-0565-ec03d815.pth.log)) | +| ResNet(D)-101b | 19.59 | 4.73 | 44,672,936 | 35,392.65M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.296/resnetd101b-0473-f851c920.pth.log)) | +| ResNet(D)-152b | 19.42 | 4.82 | 60,316,584 | 47,662.18M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.296/resnetd152b-0482-112e216d.pth.log)) | + +### CIFAR-10 + +| Model | Error, % | Params | FLOPs/2 | Remarks | +| --- | ---: | ---: | ---: | --- | +| NIN | 7.43 | 966,986 | 222.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.175/nin_cifar10-0743-795b0824.pth.log)) | +| ResNet-20 | 5.97 | 272,474 | 41.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.163/resnet20_cifar10-0597-9b0024ac.pth.log)) | +| ResNet-56 | 4.52 | 855,770 | 127.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.163/resnet56_cifar10-0452-628c42a2.pth.log)) | +| ResNet-110 | 3.69 | 1,730,714 | 255.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.163/resnet110_cifar10-0369-4d6ca1fc.pth.log)) | +| ResNet-164(BN) | 3.68 | 1,704,154 | 255.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.179/resnet164bn_cifar10-0368-74ae9f4b.pth.log)) | +| ResNet-272(BN) | 3.33 | 2,816,986 | 420.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.368/resnet272bn_cifar10-0333-84f28e0c.pth.log)) | +| ResNet-542(BN) | 3.43 | 5,599,066 | 833.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.369/resnet542bn_cifar10-0343-0fd36dd1.pth.log)) | +| ResNet-1001 | 3.28 | 10,328,602 | 1,536.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.201/resnet1001_cifar10-0328-77a179e2.pth.log)) | +| ResNet-1202 | 3.53 | 19,424,026 | 2,857.17M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.214/resnet1202_cifar10-0353-1d5a2129.pth.log)) | +| PreResNet-20 | 6.51 | 272,282 | 41.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.164/preresnet20_cifar10-0651-76cec68d.pth.log)) | +| PreResNet-56 | 4.49 | 855,578 | 127.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.164/preresnet56_cifar10-0449-e9124fcf.pth.log)) | +| PreResNet-110 | 3.86 | 1,730,522 | 255.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.164/preresnet110_cifar10-0386-cc08946a.pth.log)) | +| PreResNet-164(BN) | 3.64 | 1,703,258 | 255.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.196/preresnet164bn_cifar10-0364-429012d4.pth.log)) | +| PreResNet-272(BN) | 3.25 | 2,816,090 | 420.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.389/preresnet272bn_cifar10-0325-1a6a016e.pth.log)) | +| PreResNet-542(BN) | 3.14 | 5,598,170 | 833.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.391/preresnet542bn_cifar10-0314-66fd6f20.pth.log)) | +| PreResNet-1001 | 2.65 | 10,327,706 | 1,536.18M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.209/preresnet1001_cifar10-0265-9fedfe5f.pth.log)) | +| PreResNet-1202 | 3.39 | 19,423,834 | 2,857.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.246/preresnet1202_cifar10-0339-6fc686b0.pth.log)) | +| ResNeXt-29 (32x4d) | 3.15 | 4,775,754 | 780.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.169/resnext29_32x4d_cifar10-0315-30413525.pth.log)) | +| ResNeXt-29 (16x64d) | 2.41 | 68,155,210 | 10,709.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.176/resnext29_16x64d_cifar10-0241-4133d3d0.pth.log)) | +| ResNeXt-272 (1x64d) | 2.55 | 44,540,746 | 6,565.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.372/resnext272_1x64d_cifar10-0255-070ccc35.pth.log)) | +| ResNeXt-272 (2x32d) | 2.74 | 32,928,586 | 4,867.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.375/resnext272_2x32d_cifar10-0274-d2ace03c.pth.log)) | +| SE-ResNet-20 | 6.01 | 274,847 | 41.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet20_cifar10-0601-935d8943.pth.log)) | +| SE-ResNet-56 | 4.13 | 862,889 | 127.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet56_cifar10-0413-b61c1439.pth.log)) | +| SE-ResNet-110 | 3.63 | 1,744,952 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet110_cifar10-0363-1ddec230.pth.log)) | +| SE-ResNet-164(BN) | 3.39 | 1,906,258 | 256.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet164bn_cifar10-0339-1085dab6.pth.log)) | +| SE-ResNet-272(BN) | 3.39 | 3,153,826 | 422.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.390/seresnet272bn_cifar10-0339-812db518.pth.log)) | +| SE-ResNet-542(BN) | 3.47 | 6,272,746 | 838.01M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.385/seresnet542bn_cifar10-0347-d1542214.pth.log)) | +| SE-PreResNet-20 | 6.18 | 274,559 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet20_cifar10-0618-eabb3fce.pth.log)) | +| SE-PreResNet-56 | 4.51 | 862,601 | 127.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet56_cifar10-0451-fc23e153.pth.log)) | +| SE-PreResNet-110 | 4.54 | 1,744,664 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet110_cifar10-0454-418daea9.pth.log)) | +| SE-PreResNet-164(BN) | 3.73 | 1,904,882 | 256.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet164bn_cifar10-0373-ff353a29.pth.log)) | +| SE-PreResNet-272(BN) | 3.39 | 3,152,450 | 422.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet272bn_cifar10-0339-606d0964.pth.log)) | +| SE-PreResNet-542(BN) | 3.08 | 6,271,370 | 837.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.382/sepreresnet542bn_cifar10-0308-652bc884.pth.log)) | +| PyramidNet-110 (a=48) | 3.72 | 1,772,706 | 408.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.184/pyramidnet110_a48_cifar10-0372-eb185645.pth.log)) | +| PyramidNet-110 (a=84) | 2.98 | 3,904,446 | 778.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.185/pyramidnet110_a84_cifar10-0298-7b835a3c.pth.log)) | +| PyramidNet-110 (a=270) | 2.51 | 28,485,477 | 4,730.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.194/pyramidnet110_a270_cifar10-0251-31bdd9d5.pth.log)) | +| PyramidNet-164 (a=270, BN) | 2.42 | 27,216,021 | 4,608.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.264/pyramidnet164_a270_bn_cifar10-0242-daa2a402.pth.log)) | +| PyramidNet-200 (a=240, BN) | 2.44 | 26,752,702 | 4,563.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.268/pyramidnet200_a240_bn_cifar10-0244-44433afd.pth.log)) | +| PyramidNet-236 (a=220, BN) | 2.47 | 26,969,046 | 4,631.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.285/pyramidnet236_a220_bn_cifar10-0247-daa91d74.pth.log)) | +| PyramidNet-272 (a=200, BN) | 2.39 | 26,210,842 | 4,541.36M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.284/pyramidnet272_a200_bn_cifar10-0239-586b1ecd.pth.log)) | +| DenseNet-40 (k=12) | 5.61 | 599,050 | 210.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.193/densenet40_k12_cifar10-0561-8b8e8194.pth.log)) | +| DenseNet-BC-40 (k=12) | 6.43 | 176,122 | 74.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.231/densenet40_k12_bc_cifar10-0643-6dc86a2e.pth.log)) | +| DenseNet-BC-40 (k=24) | 4.52 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.220/densenet40_k24_bc_cifar10-0452-669c5255.pth.log)) | +| DenseNet-BC-40 (k=36) | 4.04 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.224/densenet40_k36_bc_cifar10-0404-b1a4cc7e.pth.log)) | +| DenseNet-100 (k=12) | 3.66 | 4,068,490 | 1,353.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.205/densenet100_k12_cifar10-0366-26089c6e.pth.log)) | +| DenseNet-100 (k=24) | 3.13 | 16,114,138 | 5,354.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.252/densenet100_k24_cifar10-0313-397f0e39.pth.log)) | +| DenseNet-BC-100 (k=12) | 4.16 | 769,162 | 298.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.189/densenet100_k12_bc_cifar10-0416-b9232829.pth.log)) | +| DenseNet-BC-190 (k=40) | 2.52 | 25,624,430 | 9,400.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.286/densenet190_k40_bc_cifar10-0252-2896fa08.pth.log)) | +| DenseNet-BC-250 (k=24) | 2.67 | 15,324,406 | 5,519.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.290/densenet250_k24_bc_cifar10-0267-f8f9d305.pth.log)) | +| X-DenseNet-BC-40-2 (k=24) | 5.31 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.226/xdensenet40_2_k24_bc_cifar10-0531-b91a9dc3.pth.log)) | +| X-DenseNet-BC-40-2 (k=36) | 4.37 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.233/xdensenet40_2_k36_bc_cifar10-0437-ed264a20.pth.log)) | +| WRN-16-10 | 2.93 | 17,116,634 | 2,414.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.166/wrn16_10_cifar10-0293-ce810d8a.pth.log)) | +| WRN-28-10 | 2.39 | 36,479,194 | 5,246.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.166/wrn28_10_cifar10-0239-fe97dcd6.pth.log)) | +| WRN-40-8 | 2.37 | 35,748,314 | 5,176.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.166/wrn40_8_cifar10-0237-8dc84ec7.pth.log)) | +| WRN-20-10-1bit | 3.26 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_1bit_cifar10-0326-e6140f8a.pth.log)) | +| WRN-20-10-32bit | 3.14 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_32bit_cifar10-0314-a18146e8.pth.log)) | +| RoR-3-56 | 5.43 | 762,746 | 113.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.228/ror3_56_cifar10-0543-44f0f47d.pth.log)) | +| RoR-3-110 | 4.35 | 1,637,690 | 242.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.235/ror3_110_cifar10-0435-fb2a2b04.pth.log)) | +| RoR-3-164 | 3.93 | 2,512,634 | 370.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.294/ror3_164_cifar10-0393-de7b6dc6.pth.log)) | +| RiR | 3.28 | 9,492,980 | 1,281.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.292/rir_cifar10-0328-414c3e60.pth.log)) | +| Shake-Shake-ResNet-20-2x16d | 5.15 | 541,082 | 81.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.215/shakeshakeresnet20_2x16d_cifar10-0515-ef71ec0d.pth.log)) | +| Shake-Shake-ResNet-26-2x32d | 3.17 | 2,923,162 | 428.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.217/shakeshakeresnet26_2x32d_cifar10-0317-ecd1f833.pth.log)) | +| DIA-ResNet-20 | 6.22 | 286,866 | 41.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet20_cifar10-0622-5e1a02bf.pth.log)) | +| DIA-ResNet-56 | 5.05 | 870,162 | 129.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet56_cifar10-0505-8ac86804.pth.log)) | +| DIA-ResNet-110 | 4.10 | 1,745,106 | 264.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet110_cifar10-0410-0c00a7da.pth.log)) | +| DIA-ResNet-164(BN) | 3.50 | 1,923,002 | 343.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet164bn_cifar10-0350-d31f2ebc.pth.log)) | +| DIA-PreResNet-20 | 6.42 | 286,674 | 41.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet20_cifar10-0642-14a1eb85.pth.log)) | +| DIA-PreResNet-56 | 4.83 | 869,970 | 129.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet56_cifar10-0483-41cae958.pth.log)) | +| DIA-PreResNet-110 | 4.25 | 1,744,914 | 264.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet110_cifar10-0425-56385016.pth.log)) | +| DIA-PreResNet-164(BN) | 3.56 | 1,922,106 | 343.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet164bn_cifar10-0356-6ec898c8.pth.log)) | + +### CIFAR-100 + +| Model | Error, % | Params | FLOPs/2 | Remarks | +| --- | ---: | ---: | ---: | --- | +| NIN | 28.39 | 984,356 | 224.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.183/nin_cifar100-2839-627a11c0.pth.log)) | +| ResNet-20 | 29.64 | 278,324 | 41.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.180/resnet20_cifar100-2964-a5322afe.pth.log)) | +| ResNet-56 | 24.88 | 861,620 | 127.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.181/resnet56_cifar100-2488-d65f53b1.pth.log)) | +| ResNet-110 | 22.80 | 1,736,564 | 255.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.190/resnet110_cifar100-2280-d8d397a7.pth.log)) | +| ResNet-164(BN) | 20.44 | 1,727,284 | 255.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.182/resnet164bn_cifar100-2044-8fa07b72.pth.log)) | +| ResNet-272(BN) | 20.07 | 2,840,116 | 420.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.368/resnet272bn_cifar100-2007-a80d2b3c.pth.log)) | +| ResNet-542(BN) | 19.32 | 5,622,196 | 833.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.369/resnet542bn_cifar100-1932-a631d3ce.pth.log)) | +| ResNet-1001 | 19.79 | 10,351,732 | 1,536.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.254/resnet1001_cifar100-1979-2728b558.pth.log)) | +| ResNet-1202 | 21.56 | 19,429,876 | 2,857.17M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.410/resnet1202_cifar100-2156-86ecd091.pth.log)) | +| PreResNet-20 | 30.22 | 278,132 | 41.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.187/preresnet20_cifar100-3022-3dbfa6a2.pth.log)) | +| PreResNet-56 | 25.05 | 861,428 | 127.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.188/preresnet56_cifar100-2505-ca90a2be.pth.log)) | +| PreResNet-110 | 22.67 | 1,736,372 | 255.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.191/preresnet110_cifar100-2267-3954e915.pth.log)) | +| PreResNet-164(BN) | 20.18 | 1,726,388 | 255.10M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.192/preresnet164bn_cifar100-2018-a8e67ca6.pth.log)) | +| PreResNet-272(BN) | 19.63 | 2,839,220 | 420.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.389/preresnet272bn_cifar100-1963-6fe0d2e2.pth.log)) | +| PreResNet-542(BN) | 18.71 | 5,621,300 | 833.66M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.391/preresnet542bn_cifar100-1871-07f1fb25.pth.log)) | +| PreResNet-1001 | 18.41 | 10,350,836 | 1,536.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.283/preresnet1001_cifar100-1841-88f14ed9.pth.log)) | +| ResNeXt-29 (32x4d) | 19.50 | 4,868,004 | 780.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.200/resnext29_32x4d_cifar100-1950-13ba13d9.pth.log)) | +| ResNeXt-29 (16x64d) | 16.93 | 68,247,460 | 10,709.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.322/resnext29_16x64d_cifar100-1693-05e9a7f1.pth.log)) | +| ResNeXt-272 (1x64d) | 19.11 | 44,632,996 | 6,565.25M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.372/resnext272_1x64d_cifar100-1911-114eb0f8.pth.log)) | +| ResNeXt-272 (2x32d) | 18.34 | 33,020,836 | 4,867.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.375/resnext272_2x32d_cifar100-1834-0b30c470.pth.log)) | +| SE-ResNet-20 | 28.54 | 280,697 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet20_cifar100-2854-8c7abf66.pth.log)) | +| SE-ResNet-56 | 22.94 | 868,739 | 127.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet56_cifar100-2294-7fa54f45.pth.log)) | +| SE-ResNet-110 | 20.86 | 1,750,802 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet110_cifar100-2086-a82c3093.pth.log)) | +| SE-ResNet-164(BN) | 19.95 | 1,929,388 | 256.57M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet164bn_cifar100-1995-97dd4ab6.pth.log)) | +| SE-ResNet-272(BN) | 19.07 | 3,176,956 | 422.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.390/seresnet272bn_cifar100-1907-179e1c38.pth.log)) | +| SE-ResNet-542(BN) | 18.87 | 6,295,876 | 838.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.385/seresnet542bn_cifar100-1887-9c4e7623.pth.log)) | +| SE-PreResNet-20 | 28.31 | 280,409 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet20_cifar100-2831-fe7558e0.pth.log)) | +| SE-PreResNet-56 | 23.05 | 868,451 | 127.21M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet56_cifar100-2305-c4bdc5d7.pth.log)) | +| SE-PreResNet-110 | 22.61 | 1,750,514 | 255.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet110_cifar100-2261-ed7d3c3e.pth.log)) | +| SE-PreResNet-164(BN) | 20.05 | 1,928,012 | 256.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet164bn_cifar100-2005-df1163c4.pth.log)) | +| SE-PreResNet-272(BN) | 19.13 | 3,175,580 | 422.47M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet272bn_cifar100-1913-cb715113.pth.log)) | +| SE-PreResNet-542(BN) | 19.45 | 6,294,500 | 837.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.382/sepreresnet542bn_cifar100-1945-9180f863.pth.log)) | +| PyramidNet-110 (a=48) | 20.95 | 1,778,556 | 408.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.186/pyramidnet110_a48_cifar100-2095-95da1a20.pth.log)) | +| PyramidNet-110 (a=84) | 18.87 | 3,913,536 | 778.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.199/pyramidnet110_a84_cifar100-1887-ff711084.pth.log)) | +| PyramidNet-110 (a=270) | 17.10 | 28,511,307 | 4,730.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.319/pyramidnet110_a270_cifar100-1710-7417dd99.pth.log)) | +| PyramidNet-164 (a=270, BN) | 16.70 | 27,319,071 | 4,608.91M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.312/pyramidnet164_a270_bn_cifar100-1670-54d99c83.pth.log)) | +| PyramidNet-200 (a=240, BN) | 16.09 | 26,844,952 | 4,563.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.317/pyramidnet200_a240_bn_cifar100-1609-0729db37.npz.log)) | +| PyramidNet-236 (a=220, BN) | 16.34 | 27,054,096 | 4,631.41M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.312/pyramidnet236_a220_bn_cifar100-1634-a45816eb.pth.log)) | +| PyramidNet-272 (a=200, BN) | 16.19 | 26,288,692 | 4,541.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.312/pyramidnet272_a200_bn_cifar100-1619-98bc2f48.pth.log)) | +| DenseNet-40 (k=12) | 24.90 | 622,360 | 210.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.195/densenet40_k12_cifar100-2490-d182c224.pth.log)) | +| DenseNet-BC-40 (k=12) | 28.41 | 188,092 | 74.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.232/densenet40_k12_bc_cifar100-2841-1e9db765.pth.log)) | +| DenseNet-BC-40 (k=24) | 22.67 | 714,196 | 293.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.221/densenet40_k24_bc_cifar100-2267-411719c0.pth.log)) | +| DenseNet-BC-40 (k=36) | 20.50 | 1,578,412 | 654.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.225/densenet40_k36_bc_cifar100-2050-cde836fa.pth.log)) | +| DenseNet-100 (k=12) | 19.64 | 4,129,600 | 1,353.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.206/densenet100_k12_cifar100-1964-5e10cd83.pth.log)) | +| DenseNet-100 (k=24) | 18.08 | 16,236,268 | 5,354.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.318/densenet100_k24_cifar100-1808-1c0a8067.pth.log)) | +| DenseNet-BC-100 (k=12) | 21.19 | 800,032 | 298.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.208/densenet100_k12_bc_cifar100-2119-05a6f027.pth.log)) | +| DenseNet-BC-250 (k=24) | 17.39 | 15,480,556 | 5,519.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.303/densenet250_k24_bc_cifar100-1739-09ac3e7d.pth.log)) | +| X-DenseNet-BC-40-2 (k=24) | 23.96 | 714,196 | 293.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.227/xdensenet40_2_k24_bc_cifar100-2396-0ce8f78a.pth.log)) | +| X-DenseNet-BC-40-2 (k=36) | 21.65 | 1,578,412 | 654.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.234/xdensenet40_2_k36_bc_cifar100-2165-6f68f83d.pth.log)) | +| WRN-16-10 | 18.95 | 17,174,324 | 2,414.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.204/wrn16_10_cifar100-1895-bef9809c.pth.log)) | +| WRN-28-10 | 17.88 | 36,536,884 | 5,247.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.320/wrn28_10_cifar100-1788-8c3fe818.pth.log)) | +| WRN-40-8 | 18.03 | 35,794,484 | 5,176.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.321/wrn40_8_cifar100-1803-0d18bfbf.pth.log)) | +| WRN-20-10-1bit | 19.04 | 26,794,920 | 4,022.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_1bit_cifar100-1904-149860c8.pth.log)) | +| WRN-20-10-32bit | 18.12 | 26,794,920 | 4,022.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_32bit_cifar100-1812-70d8972c.pth.log)) | +| RoR-3-56 | 25.49 | 768,596 | 113.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.229/ror3_56_cifar100-2549-34be6719.pth.log)) | +| RoR-3-110 | 23.64 | 1,643,540 | 242.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.236/ror3_110_cifar100-2364-d599e3a9.pth.log)) | +| RoR-3-164 | 22.34 | 2,518,484 | 370.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.294/ror3_164_cifar100-2234-d37483fc.pth.log)) | +| RiR | 19.23 | 9,527,720 | 1,283.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.292/rir_cifar100-1923-de8ec24a.pth.log)) | +| Shake-Shake-ResNet-20-2x16d | 29.22 | 546,932 | 81.79M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.247/shakeshakeresnet20_2x16d_cifar100-2922-4d07f142.pth.log)) | +| Shake-Shake-ResNet-26-2x32d | 18.80 | 2,934,772 | 428.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.222/shakeshakeresnet26_2x32d_cifar100-1880-b47e371f.pth.log)) | +| DIA-ResNet-20 | 27.71 | 292,716 | 41.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet20_cifar100-2771-28aa1a18.pth.log)) | +| DIA-ResNet-56 | 24.35 | 876,012 | 129.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet56_cifar100-2435-19085975.pth.log)) | +| DIA-ResNet-110 | 22.11 | 1,750,956 | 264.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet110_cifar100-2211-7096ddb3.pth.log)) | +| DIA-ResNet-164(BN) | 19.53 | 1,946,132 | 343.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet164bn_cifar100-1953-b1c474d2.pth.log)) | +| DIA-PreResNet-20 | 28.37 | 292,524 | 41.53M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet20_cifar100-2837-f7675c09.pth.log)) | +| DIA-PreResNet-56 | 25.05 | 875,820 | 129.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet56_cifar100-2505-5d357985.pth.log)) | +| DIA-PreResNet-110 | 22.69 | 1,750,764 | 264.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet110_cifar100-2269-c993cc29.pth.log)) | +| DIA-PreResNet-164(BN) | 19.99 | 1,945,236 | 343.39M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet164bn_cifar100-1999-00872f98.pth.log)) | + +### SVHN + +| Model | Error, % | Params | FLOPs/2 | Remarks | +| --- | ---: | ---: | ---: | --- | +| NIN | 3.76 | 966,986 | 222.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.270/nin_svhn-0376-1205dc06.pth.log)) | +| ResNet-20 | 3.43 | 272,474 | 41.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.265/resnet20_svhn-0343-8232e6e4.pth.log)) | +| ResNet-56 | 2.75 | 855,770 | 127.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.265/resnet56_svhn-0275-6e08ed92.pth.log)) | +| ResNet-110 | 2.45 | 1,730,714 | 255.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.265/resnet110_svhn-0245-c971f0a3.pth.log)) | +| ResNet-164(BN) | 2.42 | 1,704,154 | 255.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.267/resnet164bn_svhn-0242-54941372.pth.log)) | +| ResNet-272(BN) | 2.43 | 2,816,986 | 420.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.368/resnet272bn_svhn-0243-ab1d7da5.pth.log)) | +| ResNet-542(BN) | 2.34 | 5,599,066 | 833.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.369/resnet542bn_svhn-0234-04396c97.pth.log)) | +| ResNet-1001 | 2.41 | 10,328,602 | 1,536.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.408/resnet1001_svhn-0241-9e3d4bb5.pth.log)) | +| PreResNet-20 | 3.22 | 272,282 | 41.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet20_svhn-0322-c3c00fed.pth.log)) | +| PreResNet-56 | 2.80 | 855,578 | 127.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet56_svhn-0280-b51b4147.pth.log)) | +| PreResNet-110 | 2.79 | 1,730,522 | 255.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet110_svhn-0279-aa49e0a3.pth.log)) | +| PreResNet-164(BN) | 2.58 | 1,703,258 | 255.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet164bn_svhn-0258-94d42de4.pth.log)) | +| PreResNet-272(BN) | 2.34 | 2,816,090 | 420.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.389/preresnet272bn_svhn-0234-c04ef5c2.pth.log)) | +| PreResNet-542(BN) | 2.36 | 5,598,170 | 833.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.391/preresnet542bn_svhn-0236-6bdf9236.pth.log)) | +| ResNeXt-29 (32x4d) | 2.80 | 4,775,754 | 780.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.275/resnext29_32x4d_svhn-0280-e85c5217.pth.log)) | +| ResNeXt-29 (16x64d) | 2.68 | 68,155,210 | 10,709.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.358/resnext29_16x64d_svhn-0268-74332b71.pth.log)) | +| ResNeXt-272 (1x64d) | 2.35 | 44,540,746 | 6,565.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.372/resnext272_1x64d_svhn-0235-ab044846.pth.log)) | +| ResNeXt-272 (2x32d) | 2.44 | 32,928,586 | 4,867.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.375/resnext272_2x32d_svhn-0244-39b8a336.pth.log)) | +| SE-ResNet-20 | 3.23 | 274,847 | 41.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet20_svhn-0323-d77df31c.pth.log)) | +| SE-ResNet-56 | 2.64 | 862,889 | 127.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet56_svhn-0264-93839c76.pth.log)) | +| SE-ResNet-110 | 2.35 | 1,744,952 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet110_svhn-0235-9572ba73.pth.log)) | +| SE-ResNet-164(BN) | 2.45 | 1,906,258 | 256.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet164bn_svhn-0245-af0a90a5.pth.log)) | +| SE-ResNet-272(BN) | 2.38 | 3,153,826 | 422.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.390/seresnet272bn_svhn-0238-0e16bada.pth.log)) | +| SE-ResNet-542(BN) | 2.26 | 6,272,746 | 838.01M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.385/seresnet542bn_svhn-0226-71a8f298.pth.log)) | +| SE-PreResNet-20 | 3.24 | 274,559 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet20_svhn-0324-061daa58.pth.log)) | +| SE-PreResNet-56 | 2.71 | 862,601 | 127.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet56_svhn-0271-c91e922f.pth.log)) | +| SE-PreResNet-110 | 2.59 | 1,744,664 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet110_svhn-0259-556909fd.pth.log)) | +| SE-PreResNet-164(BN) | 2.56 | 1,904,882 | 256.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet164bn_svhn-0256-f8dd4e06.pth.log)) | +| SE-PreResNet-272(BN) | 2.49 | 3,152,450 | 422.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet272bn_svhn-0249-904d74a2.pth.log)) | +| SE-PreResNet-542(BN) | 2.47 | 6,271,370 | 837.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.382/sepreresnet542bn_svhn-0247-318a8325.pth.log)) | +| PyramidNet-110 (a=48) | 2.47 | 1,772,706 | 408.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.281/pyramidnet110_a48_svhn-0247-d48bafbe.pth.log)) | +| PyramidNet-110 (a=84) | 2.43 | 3,904,446 | 778.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.392/pyramidnet110_a84_svhn-0243-971576c6.pth.log)) | +| PyramidNet-110 (a=270) | 2.38 | 28,485,477 | 4,730.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.393/pyramidnet110_a270_svhn-0238-3047a9bb.pth.log)) | +| PyramidNet-164 (a=270, BN) | 2.33 | 27,216,021 | 4,608.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.396/pyramidnet164_a270_bn_svhn-0233-42d4c033.pth.log)) | +| PyramidNet-200 (a=240, BN) | 2.32 | 26,752,702 | 4,563.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.397/pyramidnet200_a240_bn_svhn-0232-f9660c25.pth.log)) | +| PyramidNet-236 (a=220, BN) | 2.35 | 26,969,046 | 4,631.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.398/pyramidnet236_a220_bn_svhn-0235-f74fe248.pth.log)) | +| PyramidNet-272 (a=200, BN) | 2.40 | 26,210,842 | 4,541.36M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.404/pyramidnet272_a200_bn_svhn-0240-96f6e740.pth.log)) | +| DenseNet-40 (k=12) | 3.05 | 599,050 | 210.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.278/densenet40_k12_svhn-0305-ac0de84a.pth.log)) | +| DenseNet-BC-40 (k=12) | 3.20 | 176,122 | 74.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.279/densenet40_k12_bc_svhn-0320-32076052.pth.log)) | +| DenseNet-BC-40 (k=24) | 2.90 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.280/densenet40_k24_bc_svhn-0290-f4440d3b.pth.log)) | +| DenseNet-BC-40 (k=36) | 2.60 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.311/densenet40_k36_bc_svhn-0260-8c7db0a2.pth.log)) | +| DenseNet-100 (k=12) | 2.60 | 4,068,490 | 1,353.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.311/densenet100_k12_svhn-0260-57fde50e.pth.log)) | +| X-DenseNet-BC-40-2 (k=24) | 2.87 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.306/xdensenet40_2_k24_bc_svhn-0287-fd9b6def.pth.log)) | +| X-DenseNet-BC-40-2 (k=36) | 2.74 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.306/xdensenet40_2_k36_bc_svhn-0274-540a69f1.pth.log)) | +| WRN-16-10 | 2.78 | 17,116,634 | 2,414.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.271/wrn16_10_svhn-0278-5ab2a4ed.pth.log)) | +| WRN-28-10 | 2.71 | 36,479,194 | 5,246.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.276/wrn28_10_svhn-0271-d62b6bba.pth.log)) | +| WRN-40-8 | 2.54 | 35,748,314 | 5,176.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.277/wrn40_8_svhn-0254-dee59602.pth.log)) | +| WRN-20-10-1bit | 2.73 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_1bit_svhn-0273-ffe96cb7.pth.log)) | +| WRN-20-10-32bit | 2.59 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_32bit_svhn-0259-ce402a58.pth.log)) | +| RoR-3-56 | 2.69 | 762,746 | 113.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.287/ror3_56_svhn-0269-5a9ad66c.pth.log)) | +| RoR-3-110 | 2.57 | 1,637,690 | 242.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.287/ror3_110_svhn-0257-155380ad.pth.log)) | +| RoR-3-164 | 2.73 | 2,512,634 | 370.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.294/ror3_164_svhn-0273-ff0d9af0.pth.log)) | +| RiR | 2.68 | 9,492,980 | 1,281.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.292/rir_svhn-0268-12fcbd3b.pth.log)) | +| Shake-Shake-ResNet-20-2x16d | 3.17 | 541,082 | 81.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.295/shakeshakeresnet20_2x16d_svhn-0317-a693ec24.pth.log)) | +| Shake-Shake-ResNet-26-2x32d | 2.62 | 2,923,162 | 428.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.295/shakeshakeresnet26_2x32d_svhn-0262-c1b8099e.pth.log)) | +| DIA-ResNet-20 | 3.23 | 286,866 | 41.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet20_svhn-0323-b8ee92c9.pth.log)) | +| DIA-ResNet-56 | 2.68 | 870,162 | 129.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet56_svhn-0268-bd2ec755.pth.log)) | +| DIA-ResNet-110 | 2.47 | 1,745,106 | 264.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet110_svhn-0247-635e42cf.pth.log)) | +| DIA-ResNet-164(BN) | 2.44 | 1,923,002 | 343.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet164bn_svhn-0244-0b8f6713.pth.log)) | +| DIA-PreResNet-20 | 3.03 | 286,674 | 41.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet20_svhn-0303-dc3e3a45.pth.log)) | +| DIA-PreResNet-56 | 2.80 | 869,970 | 129.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet56_svhn-0280-537ebc66.pth.log)) | +| DIA-PreResNet-110 | 2.42 | 1,744,914 | 264.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet110_svhn-0242-a156cfb5.pth.log)) | +| DIA-PreResNet-164(BN) | 2.56 | 1,922,106 | 343.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet164bn_svhn-0256-13404881.pth.log)) | + +### CUB-200-2011 + +| Model | Error, % | Params | FLOPs/2 | Remarks | +| --- | ---: | ---: | ---: | --- | +| ResNet-10 | 27.77 | 5,008,392 | 893.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.335/resnet10_cub-2777-4525b593.pth.log)) | +| ResNet-12 | 27.27 | 5,082,376 | 1,125.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.336/resnet12_cub-2727-c1524883.pth.log)) | +| ResNet-14 | 24.77 | 5,377,800 | 1,357.53M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.337/resnet14_cub-2477-5051bbc6.pth.log)) | +| ResNet-16 | 23.65 | 6,558,472 | 1,588.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.338/resnet16_cub-2365-b831356c.pth.log)) | +| ResNet-18 | 23.33 | 11,279,112 | 1,820.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.344/resnet18_cub-2333-200d8b9c.pth.log)) | +| ResNet-26 | 23.16 | 17,549,832 | 2,746.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.345/resnet26_cub-2316-599ab467.pth.log)) | +| SE-ResNet-10 | 27.72 | 5,052,932 | 893.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet10_cub-2772-f52526ec.pth.log)) | +| SE-ResNet-12 | 26.51 | 5,127,496 | 1,126.17M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet12_cub-2651-5c0e7f83.pth.log)) | +| SE-ResNet-14 | 24.16 | 5,425,104 | 1,357.92M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet14_cub-2416-a4cda901.pth.log)) | +| SE-ResNet-16 | 23.32 | 6,614,240 | 1,589.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet16_cub-2332-43a819b7.pth.log)) | +| SE-ResNet-18 | 23.52 | 11,368,192 | 1,820.47M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet18_cub-2352-414fa277.pth.log)) | +| SE-ResNet-26 | 22.99 | 17,683,452 | 2,747.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet26_cub-2299-5aa0a7d1.pth.log)) | +| MobileNet x1.0 | 23.77 | 3,411,976 | 578.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.346/mobilenet_w1_cub-2377-8428471f.pth.log)) | +| ProxylessNAS Mobile | 22.66 | 3,055,712 | 331.44M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.347/proxylessnas_mobile_cub-2266-e4b5098a.pth.log)) | +| NTS-Net | 12.77 | 28,623,333 | 33,361.79M | From [yangze0930/NTS-Net] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.334/ntsnet_cub-1277-f6f330ab.pth.log)) | + +### Pascal VOC20102 + +| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | ---: | --- | +| PSPNet | ResNet(D)-101b | 98.09 | 81.44 | 65,708,501 | 230,771.01M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_voc-8144-c22f0219.pth.log)) | +| DeepLabv3 | ResNet(D)-101b | 97.95 | 80.24 | 58,754,773 | 47,625.34M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd101b_voc-8024-fd8bf74f.pth.log)) | +| DeepLabv3 | ResNet(D)-152b | 98.11 | 81.20 | 74,398,421 | 59,894.87M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd152b_voc-8120-f2dae198.pth.log)) | +| FCN-8s(d) | ResNet(D)-101b | 97.80 | 80.40 | 52,072,917 | 196,562.96M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd101b_voc-8040-66edc0b0.pth.log)) | + +### ADE20K + +| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | ---: | --- | +| PSPNet | ResNet(D)-50b | 79.37 | 36.87 | 46,782,550 | 162,595.14M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd50b_ade20k-3687-13f22137.pth.log)) | +| PSPNet | ResNet(D)-101b | 79.93 | 37.97 | 65,774,678 | 231,008.79M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_ade20k-3797-115d62bf.pth.log)) | +| DeepLabv3 | ResNet(D)-50b | 79.72 | 37.13 | 39,795,798 | 32,756.18M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd50b_ade20k-3713-bddbb458.pth.log)) | +| DeepLabv3 | ResNet(D)-101b | 80.21 | 37.84 | 58,787,926 | 47,651.23M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd101b_ade20k-3784-977446a5.pth.log)) | +| FCN-8s(d) | ResNet(D)-50b | 76.92 | 33.39 | 33,146,966 | 128,387.08M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd50b_ade20k-3339-e1dad8a1.pth.log)) | +| FCN-8s(d) | ResNet(D)-101b | 79.01 | 35.88 | 52,139,094 | 196,800.73M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd101b_ade20k-3588-30d05ca4.pth.log)) | + +### Cityscapes + +| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | ---: | --- | +| PSPNet | ResNet(D)-101b | 96.17 | 71.72 | 65,707,475 | 230,767.33M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_cityscapes-7172-0a6efb49.pth.log)) | +| ICNet | ResNet(D)-50b | 95.50 | 64.02 | 47,489,184 | 14,253.43M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.457/icnet_resnetd50b_cityscapes-6402-b380f8cc.pth.log)) | +| SINet | - | 94.08 | 61.72 | 119,418 | 1,419.90M | From [clovaai/c3_sinet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.437/sinet_cityscapes-6172-8ecd1414.pth.log)) | +| Fast-SCNN | - | 95.14 | 65.76 | 1,138,051 | 3493.33M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.474/fastscnn_cityscapes-6576-b9859a25.pth.log)) | +| DANet | ResNet(D)-50b | 95.91 | 67.99 | 47,586,427 | 180,397.43M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.468/danet_resnetd50b_cityscapes-6799-c5740c9f.pth.log)) | +| DANet | ResNet(D)-101b | 96.03 | 68.10 | 66,578,555 | 248,811.08M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.468/danet_resnetd101b_cityscapes-6810-f1eeb724.pth.log)) | + +### COCO Semantic Segmentation + +| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | ---: | --- | +| PSPNet | ResNet(D)-101b | 92.05 | 67.41 | 65,708,501 | 230,771.01M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_coco-6741-c8b13be6.pth.log)) | +| DeepLabv3 | ResNet(D)-101b | 92.19 | 67.73 | 58,754,773 | 47,625.34M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd101b_coco-6773-e59c1d8f.pth.log)) | +| DeepLabv3 | ResNet(D)-152b | 92.24 | 68.99 | 74,398,421 | 275,087.91M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd152b_coco-6899-7e946d7a.pth.log)) | +| FCN-8s(d) | ResNet(D)-101b | 91.44 | 60.11 | 52,072,917 | 196,562.96M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd101b_coco-6011-ebe2ad0b.pth.log)) | + +### CelebAMask-HQ + +| Model | Extractor | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | --- | +| BiSeNet | ResNet-18 | 13,300,416 | - | From [zllrunning/face...Torch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.462/bisenet_resnet18_celebamaskhq-0000-98affefd.pth.log)) | + +### COCO Keypoints Detection + +| Model | Extractor | OKS AP, % | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | --- | +| AlphaPose | Fast-SE-ResNet-101b | 74.15/91.59/80.68 | 59,569,873 | 9,553.89M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.454/alphapose_fastseresnet101b_coco-7415-b9e3f64a.pth.log)) | +| SimplePose | ResNet-18 | 66.31/89.20/73.41 | 15,376,721 | 1,799.25M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resnet18_coco-6631-7c3656b3.pth.log)) | +| SimplePose | ResNet-50b | 71.02/91.23/78.57 | 33,999,697 | 4,041.06M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resnet50b_coco-7102-621d2545.pth.log)) | +| SimplePose | ResNet-101b | 72.44/92.18/79.76 | 52,991,825 | 7,685.04M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resnet101b_coco-7244-540c29ec.pth.log)) | +| SimplePose | ResNet-152b | 72.53/92.14/79.61 | 68,635,473 | 11,332.86M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resnet152b_coco-7253-3a358d7d.pth.log)) | +| SimplePose | ResNet(A)-50b | 71.70/91.31/78.66 | 34,018,929 | 4,278.56M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resneta50b_coco-7170-2d973dc5.pth.log)) | +| SimplePose | ResNet(A)-101b | 72.97/92.24/80.81 | 53,011,057 | 7,922.54M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resneta101b_coco-7297-08175610.pth.log)) | +| SimplePose | ResNet(A)-152b | 73.44/92.27/80.72 | 68,654,705 | 11,570.36M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.455/simplepose_resneta152b_coco-7344-dacb65cf.pth.log)) | +| SimplePose(Mobile) | ResNet-18 | 66.25/89.17/74.32 | 12,858,208 | 1,960.96M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_resnet18_coco-6625-1e27b206.pth.log)) | +| SimplePose(Mobile) | ResNet-50b | 71.10/91.28/78.67 | 25,582,944 | 4,221.30M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_resnet50b_coco-7110-023f910c.pth.log)) | +| SimplePose(Mobile) | 1.0 MobileNet-224 | 64.10/88.06/71.23 | 5,019,744 | 751.36M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_mobilenet_w1_coco-6410-0ca46de0.pth.log)) | +| SimplePose(Mobile) | 1.0 MobileNetV2b-224 | 63.74/88.12/71.06 | 4,102,176 | 495.95M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_mobilenetv2b_w1_coco-6374-94f86097.pth.log)) | +| SimplePose(Mobile) | MobileNetV3 Small 224/1.0 | 54.34/83.67/59.35 | 2,625,088 | 236.51M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_mobilenetv3_small_w1_coco-5434-5cedb749.pth.log)) | +| SimplePose(Mobile) | MobileNetV3 Large 224/1.0 | 63.67/88.91/70.82 | 4,768,336 | 403.97M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.456/simplepose_mobile_mobilenetv3_large_w1_coco-6367-9515de07.pth.log)) | +| Lightweight OpenPose 2D | MobileNet | 39.99/65.95/40.70 | 4,091,698 | 8,948.96M | From [Daniil-Osokin/lighw...ch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.458/lwopenpose2d_mobilenet_cmupan_coco-3999-a6b9c66b.pth.log)) | +| Lightweight OpenPose 3D | MobileNet | 39.99/65.95/40.70 | 5,085,983 | 11,049.43M | From [Daniil-Osokin/li...3d...ch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.458/lwopenpose3d_mobilenet_cmupan_coco-3999-4c727e1d.pth.log)) | +| IBPPose | - | 64.87/83.62/70.13 | 95,827,784 | 57,195.91M | From [jialee93/Improved...Parts] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.459/ibppose_coco-6487-1958fe10.pth.log)) | + +### Mozilla Common Voice (Corpus 6.1, dev subset) + +Some remarks: +- NR means Noise Reduction. +- LS means trained on LibriSpeech dataset. + +| Model | Lang | WER, % | Params | FLOPs/2 | Remarks | +| --- | --- | ---: | ---: | ---: | --- | +| Jasper DR 10x5 | En | 21.92 | 332,632,349 | 85,142.96M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/jasperdr10x5_en-2192-c2c00e2c.pth.log)) | +| Jasper DR 10x5 NR | En | 17.92 | 332,632,349 | 85,142.96M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/jasperdr10x5_en_nr-1792-0417568d.pth.log)) | +| QuartzNet 5x5 LS | En | 44.69 | 6,713,181 | 1,717.12M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet5x5_en_ls-4469-45bb0d81.pth.log)) | +| QuartzNet 15x5 | En | 16.79 | 18,924,381 | 4,840.29M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_en-1679-d59dfb8a.pth.log)) | +| QuartzNet 15x5 NR | En | 17.76 | 18,924,381 | 4,840.29M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_en_nr-1776-dfc92f27.pth.log)) | +| QuartzNet 15x5 | De | 11.67 | 18,927,456 | 4,841.08M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_de-1167-fb6c1f37.pth.log)) | +| QuartzNet 15x5 | Fr | 13.88 | 18,938,731 | 4,843.96M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_fr-1388-18af35d6.pth.log)) | +| QuartzNet 15x5 | It | 15.02 | 18,934,631 | 4,842.91M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_it-1502-04cac187.pth.log)) | +| QuartzNet 15x5 | Es | 12.95 | 18,931,556 | 4,842.13M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_es-1295-0e3f57f7.pth.log)) | +| QuartzNet 15x5 | Ca | 8.42 | 18,934,631 | 4,842.91M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_ca-0842-05b4e456.pth.log)) | +| QuartzNet 15x5 | Pl | 13.59 | 18,929,506 | 4,841.60M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_pl-1359-a57dfee4.pth.log)) | +| QuartzNet 15x5 | Ru | 16.48 | 18,930,531 | 4,841.87M | From [NVIDIA/NeMo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_ru-1648-deaa15ba.pth.log)) | +| QuartzNet 15x5 | Ru/34 | 9.69 | 18,929,506 | 4,841.60M | From [sberdevices/golos] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.555/quartznet15x5_ru34-0969-977a0157.pth.log)) | + +[dmlc/gluon-cv]: https://github.com/dmlc/gluon-cv +[tornadomeet/ResNet]: https://github.com/tornadomeet/ResNet +[Cadene/pretrained...pytorch]: https://github.com/Cadene/pretrained-models.pytorch +[ShichenLiu/CondenseNet]: https://github.com/ShichenLiu/CondenseNet +[clavichord93/MENet]: https://github.com/clavichord93/MENet +[clavichord93/FD-MobileNet]: https://github.com/clavichord93/FD-MobileNet +[tensorpack/tensorpack]: https://github.com/tensorpack/tensorpack +[dyhan0920/Pyramid...PyTorch]: https://github.com/dyhan0920/PyramidNet-PyTorch +[zeusees/Mnasnet...Model]: https://github.com/zeusees/Mnasnet-Pretrained-Model +[szagoruyko/diracnets]: https://github.com/szagoruyko/diracnets +[szagoruyko/functional-zoo]: https://github.com/szagoruyko/functional-zoo +[fyu/drn]: https://github.com/fyu/drn +[quark0/darts]: https://github.com/quark0/darts +[soeaver/AirNet-PyTorch]: https://github.com/soeaver/AirNet-PyTorch +[soeaver/mxnet-model]: https://github.com/soeaver/mxnet-model +[Jongchan/attention-module]: https://github.com/Jongchan/attention-module +[XingangPan/IBN-Net]: https://github.com/XingangPan/IBN-Net +[cypw/CRU-Net]: https://github.com/cypw/CRU-Net +[kevin-ssy/FishNet]: https://github.com/kevin-ssy/FishNet +[ucbdrive/dla]: https://github.com/ucbdrive/dla +[sacmehta/ESPNetv2]: https://github.com/sacmehta/ESPNetv2 +[sacmehta/EdgeNets]: https://github.com/sacmehta/EdgeNets +[jhjacobsen/pytorch-i-revnet]: https://github.com/jhjacobsen/pytorch-i-revnet +[wielandbrendel/bag...models]: https://github.com/wielandbrendel/bag-of-local-features-models +[MIT-HAN-LAB/ProxylessNAS]: https://github.com/MIT-HAN-LAB/ProxylessNAS +[yangze0930/NTS-Net]: https://github.com/yangze0930/NTS-Net +[rwightman/pyt...models]: https://github.com/rwightman/pytorch-image-models +[HRNet/HRNet...ation]: https://github.com/HRNet/HRNet-Image-Classification +[stigma0617/VoVNet.pytorch]: https://github.com/stigma0617/VoVNet.pytorch +[PingoLH/Pytorch-HarDNet]: https://github.com/PingoLH/Pytorch-HarDNet +[clovaai/c3_sinet]: https://github.com/clovaai/c3_sinet +[Daniil-Osokin/lighw...ch]: https://github.com/Daniil-Osokin/lightweight-human-pose-estimation.pytorch +[Daniil-Osokin/li...3d...ch]: https://github.com/Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch +[jialee93/Improved...Parts]: https://github.com/jialee93/Improved-Body-Parts +[zllrunning/face...Torch]: https://github.com/zllrunning/face-parsing.PyTorch +[MCG-NKU/SCNet]: https://github.com/MCG-NKU/SCNet +[NVIDIA/NeMo]: https://github.com/NVIDIA/NeMo +[sberdevices/golos]: https://github.com/sberdevices/golos + + + +%prep +%autosetup -n pytorchcv-0.0.67 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-pytorchcv -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.67-1 +- Package Spec generated @@ -0,0 +1 @@ +b0c87a3e915e80227b2244eee0d0d8ed pytorchcv-0.0.67.tar.gz |