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Fix links in docs (#118) 

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configs/mobilenet_v2/README.md
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| Model | Params(M) | Flops(G) | Top-1 (%) | Top-5 (%) | Config | Download |
|:---------------------:|:---------:|:--------:|:---------:|:---------:|:---------:|:--------:|
| MobileNet V2 | 3.5 | 0.319 | 71.86 | 90.42 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/mobilenet_v2_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/mobilenet_v2_batch256_20200708-3b2dc3af.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/mobilenet_v2_batch256_20200708-3b2dc3af.log.json) |
| MobileNet V2 | 3.5 | 0.319 | 71.86 | 90.42 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/mobilenet_v2/mobilenet_v2_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/mobilenet_v2/mobilenet_v2_batch256_imagenet_20200708-3b2dc3af.pth) | [log](https://download.openmmlab.com/mmclassification/v0/mobilenet_v2/mobilenet_v2_batch256_imagenet_20200708-3b2dc3af.log.json) |

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configs/resnet/README.md
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| Model | Params(M) | Flops(G) | Top-1 (%) | Top-5 (%) | Config | Download |
|:---------------------:|:---------:|:--------:|:---------:|:---------:|:---------:|:--------:|
| ResNet-18-b16x8 | 11.17 | 0.56 | 94.72 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/cifar10/resnet18_b16x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet18_b16x8_20200823-f906fa4e.pth) | [log](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet18_b16x8_20200823-f906fa4e.log.json) |
| ResNet-34-b16x8 | 21.28 | 1.16 | 95.34 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/cifar10/resnet34_b16x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet34_b16x8_20200823-52d5d832.pth) | [log](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet34_b16x8_20200823-52d5d832.log.json) |
| ResNet-50-b16x8 | 23.52 | 1.31 | 95.36 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/cifar10/resnet50_b16x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet50_b16x8_20200823-882aa7b1.pth) | [log](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet50_b16x8_20200823-882aa7b1.log.json) |
| ResNet-101-b16x8 | 42.51 | 2.52 | 95.66 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/cifar10/resnet101_b16x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet101_b16x8_20200823-d9501bbc.pth) | [log](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet101_b16x8_20200823-d9501bbc.log.json) |
| ResNet-152-b16x8 | 58.16 | 3.74 | 95.96 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/cifar10/resnet152_b16x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet152_b16x8_20200823-ad4d5d0c.pth) | [log](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet152_b16x8_20200823-ad4d5d0c.log.json) |
| ResNet-18-b16x8 | 11.17 | 0.56 | 94.72 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet18_b16x8_cifar10.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_b16x8_cifar10_20200823-f906fa4e.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_b16x8_cifar10_20200823-f906fa4e.log.json) |
| ResNet-34-b16x8 | 21.28 | 1.16 | 95.34 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet34_b16x8_cifar10.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet34_b16x8_cifar10_20200823-52d5d832.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet34_b16x8_cifar10_20200823-52d5d832.log.json) |
| ResNet-50-b16x8 | 23.52 | 1.31 | 95.36 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet50_b16x8_cifar10.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_b16x8_cifar10_20200823-882aa7b1.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_b16x8_cifar10_20200823-882aa7b1.log.json) |
| ResNet-101-b16x8 | 42.51 | 2.52 | 95.66 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet101_b16x8_cifar10.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet101_b16x8_cifar10_20200823-d9501bbc.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet101_b16x8_cifar10_20200823-d9501bbc.log.json) |
| ResNet-152-b16x8 | 58.16 | 3.74 | 95.96 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet152_b16x8_cifar10.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet152_b16x8_cifar10_20200823-ad4d5d0c.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet152_b16x8_cifar10_20200823-ad4d5d0c.log.json) |
### ImageNet
| Model | Params(M) | Flops(G) | Top-1 (%) | Top-5 (%) | Config | Download |
|:---------------------:|:---------:|:--------:|:---------:|:---------:|:---------:|:--------:|
| ResNet-18 | 11.69 | 1.82 | 70.07 | 89.44 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnet18_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet18_batch256_20200708-34ab8f90.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet18_batch256_20200708-34ab8f90.log.json) |
| ResNet-34 | 21.8 | 3.68 | 73.85 | 91.53 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnet34_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet34_batch256_20200708-32ffb4f7.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet34_batch256_20200708-32ffb4f7.log.json) |
| ResNet-50 | 25.56 | 4.12 | 76.55 | 93.15 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnet50_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet50_batch256_20200708-cfb998bf.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet50_batch256_20200708-cfb998bf.log.json) |
| ResNet-101 | 44.55 | 7.85 | 78.18 | 94.03 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnet101_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet101_batch256_20200708-753f3608.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet101_batch256_20200708-753f3608.log.json) |
| ResNet-152 | 60.19 | 11.58 | 78.63 | 94.16 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnet152_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet152_batch256_20200708-ec25b1f9.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet152_batch256_20200708-ec25b1f9.log.json) |
| ResNetV1D-50 | 25.58 | 4.36 | 77.4 | 93.66 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnetv1d50_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnetv1d50_batch256_20200708-1ad0ce94.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnetv1d50_batch256_20200708-1ad0ce94.log.json) |
| ResNetV1D-101 | 44.57 | 8.09 | 78.85 | 94.38 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnetv1d101_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnetv1d101_batch256_20200708-9cb302ef.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnetv1d101_batch256_20200708-9cb302ef.log.json) |
| ResNetV1D-152 | 60.21 | 11.82 | 79.35 | 94.61 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnetv1d152_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnetv1d152_batch256_20200708-e79cb6a2.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnetv1d152_batch256_20200708-e79cb6a2.log.json) |
| ResNet-18 | 11.69 | 1.82 | 70.07 | 89.44 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet18_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_batch256_imagenet_20200708-34ab8f90.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_batch256_imagenet_20200708-34ab8f90.log.json) |
| ResNet-34 | 21.8 | 3.68 | 73.85 | 91.53 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet34_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet34_batch256_imagenet_20200708-32ffb4f7.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet34_batch256_imagenet_20200708-32ffb4f7.log.json) |
| ResNet-50 | 25.56 | 4.12 | 76.55 | 93.15 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet50_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_batch256_imagenet_20200708-cfb998bf.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_batch256_imagenet_20200708-cfb998bf.log.json) |
| ResNet-101 | 44.55 | 7.85 | 78.18 | 94.03 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet101_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet101_batch256_imagenet_20200708-753f3608.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet101_batch256_imagenet_20200708-753f3608.log.json) |
| ResNet-152 | 60.19 | 11.58 | 78.63 | 94.16 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet152_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet152_batch256_imagenet_20200708-ec25b1f9.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet152_batch256_imagenet_20200708-ec25b1f9.log.json) |
| ResNetV1D-50 | 25.58 | 4.36 | 77.4 | 93.66 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnetv1d50_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnetv1d50_batch256_imagenet_20200708-1ad0ce94.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnetv1d50_batch256_imagenet_20200708-1ad0ce94.log.json) |
| ResNetV1D-101 | 44.57 | 8.09 | 78.85 | 94.38 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnetv1d101_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnetv1d101_batch256_imagenet_20200708-9cb302ef.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnetv1d101_batch256_imagenet_20200708-9cb302ef.log.json) |
| ResNetV1D-152 | 60.21 | 11.82 | 79.35 | 94.61 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnetv1d152_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnetv1d152_batch256_imagenet_20200708-e79cb6a2.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnetv1d152_batch256_imagenet_20200708-e79cb6a2.log.json) |

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configs/resnext/README.md
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| Model | Params(M) | Flops(G) | Top-1 (%) | Top-5 (%) | Config | Download |
|:---------------------:|:---------:|:--------:|:---------:|:---------:|:---------:|:--------:|
| ResNeXt-32x4d-50 | 25.03 | 4.27 | 77.92 | 93.74 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnext50_32x4d_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext50_32x4d_batch256_20200708-c07adbb7.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext50_32x4d_batch256_20200708-c07adbb7.log.json) |
| ResNeXt-32x4d-101 | 44.18 | 8.03 | 78.7 | 94.34 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnext101_32x4d_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext101_32x4d_batch256_20200708-87f2d1c9.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext101_32x4d_batch256_20200708-87f2d1c9.log.json) |
| ResNeXt-32x8d-101 | 88.79 | 16.5 | 79.22 | 94.52 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnext101_32x8d_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext101_32x8d_batch256_20200708-1ec34aa7.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext101_32x8d_batch256_20200708-1ec34aa7.log.json) |
| ResNeXt-32x4d-152 | 59.95 | 11.8 | 79.06 | 94.47 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnext152_32x4d_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext152_32x4d_batch256_20200708-aab5034c.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext152_32x4d_batch256_20200708-aab5034c.log.json) |
| ResNeXt-32x4d-50 | 25.03 | 4.27 | 77.92 | 93.74 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnext/resnext50_32x4d_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnext/resnext50_32x4d_batch256_imagenet_20200708-c07adbb7.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnext/resnext50_32x4d_batch256_imagenet_20200708-c07adbb7.log.json) |
| ResNeXt-32x4d-101 | 44.18 | 8.03 | 78.7 | 94.34 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnext/resnext101_32x4d_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnext/resnext101_32x4d_batch256_imagenet_20200708-87f2d1c9.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnext/resnext101_32x4d_batch256_imagenet_20200708-87f2d1c9.log.json) |
| ResNeXt-32x8d-101 | 88.79 | 16.5 | 79.22 | 94.52 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnext/resnext101_32x8d_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnext/resnext101_32x8d_batch256_imagenet_20200708-1ec34aa7.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnext/resnext101_32x8d_batch256_imagenet_20200708-1ec34aa7.log.json) |
| ResNeXt-32x4d-152 | 59.95 | 11.8 | 79.06 | 94.47 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnext/resnext152_32x4d_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnext/resnext152_32x4d_batch256_imagenet_20200708-aab5034c.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnext/resnext152_32x4d_batch256_imagenet_20200708-aab5034c.log.json) |

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configs/seresnet/README.md
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| Model | Params(M) | Flops(G) | Top-1 (%) | Top-5 (%) | Config | Download |
|:---------------------:|:---------:|:--------:|:---------:|:---------:|:---------:|:--------:|
| SE-ResNet-50 | 28.09 | 4.13 | 77.74 | 93.84 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/seresnet50_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/se-resnet50_batch256_20200804-ae206104.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/se-resnet50_batch256_20200708-657b3c36.log.json) |
| SE-ResNet-101 | 49.33 | 7.86 | 78.26 | 94.07 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/seresnet101_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/se-resnet101_batch256_20200804-ba5b51d4.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/se-resnet101_batch256_20200708-038a4d04.log.json) |
| SE-ResNet-50 | 28.09 | 4.13 | 77.74 | 93.84 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/seresnet50/seresnet50_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/se-resnet/se-resnet50_batch256_imagenet_20200804-ae206104.pth) | [log](https://download.openmmlab.com/mmclassification/v0/se-resnet/se-resnet50_batch256_imagenet_20200708-657b3c36.log.json) |
| SE-ResNet-101 | 49.33 | 7.86 | 78.26 | 94.07 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/seresnet101/seresnet101_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/se-resnet/se-resnet101_batch256_imagenet_20200804-ba5b51d4.pth) | [log](https://download.openmmlab.com/mmclassification/v0/se-resnet/se-resnet101_batch256_imagenet_20200708-038a4d04.log.json) |

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configs/shufflenet_v1/README.md
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| Model | Params(M) | Flops(G) | Top-1 (%) | Top-5 (%) | Config | Download |
|:---------------------:|:---------:|:--------:|:---------:|:---------:|:---------:|:--------:|
| ShuffleNetV1 1.0x (group=3) | 1.87 | 0.146 | 68.13 | 87.81 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/shufflenet_v1_1x_b64x16_linearlr_bn_nowd.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/shufflenet_v1_batch1024_20200804-5d6cec73.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/shufflenet_v1_batch1024_20200804-5d6cec73.log.json) |
| ShuffleNetV1 1.0x (group=3) | 1.87 | 0.146 | 68.13 | 87.81 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/shufflenet_v1/shufflenet_v1_1x_b64x16_linearlr_bn_nowd_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/shufflenet_v1/shufflenet_v1_batch1024_imagenet_20200804-5d6cec73.pth) | [log](https://download.openmmlab.com/mmclassification/v0/shufflenet_v1/shufflenet_v1_batch1024_imagenet_20200804-5d6cec73.log.json) |

2
configs/shufflenet_v2/README.md
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| Model | Params(M) | Flops(G) | Top-1 (%) | Top-5 (%) | Config | Download |
|:---------------------:|:---------:|:--------:|:---------:|:---------:|:---------:|:--------:|
| ShuffleNetV2 1.0x | 2.28 | 0.149 | 69.55 | 88.92 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/shufflenet_v2_1x_b64x16_linearlr_bn_nowd.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/shufflenet_v2_batch1024_20200812-5bf4721e.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/shufflenet_v2_batch1024_20200804-8860eec9.log.json) |
| ShuffleNetV2 1.0x | 2.28 | 0.149 | 69.55 | 88.92 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/shufflenet_v2/shufflenet_v2_1x_b64x16_linearlr_bn_nowd_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/shufflenet_v2/shufflenet_v2_batch1024_imagenet_20200812-5bf4721e.pth) | [log](https://download.openmmlab.com/mmclassification/v0/shufflenet_v2/shufflenet_v2_batch1024_imagenet_20200804-8860eec9.log.json) |

16
configs/vgg/README.md
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@ -18,11 +18,11 @@
| Model | Params(M) | Flops(G) | Top-1 (%) | Top-5 (%) | Config | Download |
|:---------------------:|:---------:|:--------:|:---------:|:---------:|:---------:|:--------:|
| VGG-11 | 132.86 | 7.63 | 69.03 | 88.63 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg11.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg11-01ecd97e.pth)* |
| VGG-13 | 133.05 | 11.34 | 69.93 | 89.26 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg13.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg13-9ad3945d.pth)*|
| VGG-16 | 138.36 | 15.5 | 71.59 | 90.39 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg16.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg16-91b6d117.pth)*|
| VGG-19 | 143.67 | 19.67 | 72.38 | 90.88 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg19.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg19-fee352a8.pth)*|
| VGG-11-BN | 132.87 | 7.64 | 70.37 | 89.81 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg11bn.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg11_bn-6fbbbf3f.pth)*|
| VGG-13-BN | 133.05 | 11.36 | 71.55 | 90.37 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg13bn.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg13_bn-4b5f9390.pth)*|
| VGG-16-BN | 138.37 | 15.53 | 73.36 | 91.5 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg19.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg16_bn-3ac6d8fd.pth)*|
| VGG-19-BN | 143.68 | 19.7 | 74.24 | 91.84 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg19bn.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg19_bn-7c058385.pth)*|
| VGG-11 | 132.86 | 7.63 | 69.03 | 88.63 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg11_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg11_imagenet-01ecd97e.pth)* |
| VGG-13 | 133.05 | 11.34 | 69.93 | 89.26 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg13_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg13_imagenet-9ad3945d.pth)*|
| VGG-16 | 138.36 | 15.5 | 71.59 | 90.39 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg16_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg16_imagenet-91b6d117.pth)*|
| VGG-19 | 143.67 | 19.67 | 72.38 | 90.88 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg19_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg19_imagenet-fee352a8.pth)*|
| VGG-11-BN | 132.87 | 7.64 | 70.37 | 89.81 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg11bn_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg11_bn_imagenet-6fbbbf3f.pth)*|
| VGG-13-BN | 133.05 | 11.36 | 71.55 | 90.37 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg13bn_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg13_bn_imagenet-4b5f9390.pth)*|
| VGG-16-BN | 138.37 | 15.53 | 73.36 | 91.5 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg16_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg16_bn_imagenet-3ac6d8fd.pth)*|
| VGG-19-BN | 143.68 | 19.7 | 74.24 | 91.84 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg19bn_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg19_bn_imagenet-7c058385.pth)*|

68
docs/model_zoo.md
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@ -7,35 +7,35 @@ The ResNet family models below are trained by standard data augmentations, i.e.,
| Model | Params(M) | Flops(G) | Top-1 (%) | Top-5 (%) | Config | Download |
|:---------------------:|:---------:|:--------:|:---------:|:---------:|:---------:|:--------:|
| VGG-11 | 132.86 | 7.63 | 69.03 | 88.63 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg11.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg11-01ecd97e.pth)* |
| VGG-13 | 133.05 | 11.34 | 69.93 | 89.26 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg13.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg13-9ad3945d.pth)*|
| VGG-16 | 138.36 | 15.5 | 71.59 | 90.39 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg16.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg16-91b6d117.pth)*|
| VGG-19 | 143.67 | 19.67 | 72.38 | 90.88 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg19.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg19-fee352a8.pth)*|
| VGG-11-BN | 132.87 | 7.64 | 70.37 | 89.81 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg11bn.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg11_bn-6fbbbf3f.pth)*|
| VGG-13-BN | 133.05 | 11.36 | 71.55 | 90.37 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg13bn.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg13_bn-4b5f9390.pth)*|
| VGG-16-BN | 138.37 | 15.53 | 73.36 | 91.5 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg19.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg16_bn-3ac6d8fd.pth)*|
| VGG-19-BN | 143.68 | 19.7 | 74.24 | 91.84 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/vgg19bn.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/vgg19_bn-7c058385.pth)*|
| ResNet-18 | 11.69 | 1.82 | 70.07 | 89.44 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnet18_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet18_batch256_20200708-34ab8f90.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet18_batch256_20200708-34ab8f90.log.json) |
| ResNet-34 | 21.8 | 3.68 | 73.85 | 91.53 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnet34_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet34_batch256_20200708-32ffb4f7.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet34_batch256_20200708-32ffb4f7.log.json) |
| ResNet-50 | 25.56 | 4.12 | 76.55 | 93.15 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnet50_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet50_batch256_20200708-cfb998bf.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet50_batch256_20200708-cfb998bf.log.json) |
| ResNet-101 | 44.55 | 7.85 | 78.18 | 94.03 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnet101_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet101_batch256_20200708-753f3608.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet101_batch256_20200708-753f3608.log.json) |
| ResNeSt-50 | 27.48 | 5.41 | 81.13 | 95.59 | | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnest50_converted-1ebf0afe.pth) | [log]() |
| ResNeSt-101 | 48.28 | 10.27 | 82.32 | 96.24 | | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnest101_converted-032caa52.pth) | [log]() |
| ResNeSt-200 | 70.2 | 17.53 | 82.41 | 96.22 | | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnest200_converted-581a60f2.pth) | [log]() |
| ResNeSt-269 | 110.93 | 22.58 | 82.70 | 96.28 | | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnest269_converted-59930960.pth) | [log]() |
| ResNet-152 | 60.19 | 11.58 | 78.63 | 94.16 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnet152_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet152_batch256_20200708-ec25b1f9.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnet152_batch256_20200708-ec25b1f9.log.json) |
| ResNetV1D-50 | 25.58 | 4.36 | 77.4 | 93.66 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnetv1d50_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnetv1d50_batch256_20200708-1ad0ce94.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnetv1d50_batch256_20200708-1ad0ce94.log.json) |
| ResNetV1D-101 | 44.57 | 8.09 | 78.85 | 94.38 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnetv1d101_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnetv1d101_batch256_20200708-9cb302ef.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnetv1d101_batch256_20200708-9cb302ef.log.json) |
| ResNetV1D-152 | 60.21 | 11.82 | 79.35 | 94.61 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnetv1d152_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnetv1d152_batch256_20200708-e79cb6a2.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnetv1d152_batch256_20200708-e79cb6a2.log.json) |
| ResNeXt-32x4d-50 | 25.03 | 4.27 | 77.92 | 93.74 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnext50_32x4d_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext50_32x4d_batch256_20200708-c07adbb7.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext50_32x4d_batch256_20200708-c07adbb7.log.json) |
| ResNeXt-32x4d-101 | 44.18 | 8.03 | 78.7 | 94.34 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnext101_32x4d_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext101_32x4d_batch256_20200708-87f2d1c9.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext101_32x4d_batch256_20200708-87f2d1c9.log.json) |
| ResNeXt-32x8d-101 | 88.79 | 16.5 | 79.22 | 94.52 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnext101_32x8d_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext101_32x8d_batch256_20200708-1ec34aa7.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext101_32x8d_batch256_20200708-1ec34aa7.log.json) |
| ResNeXt-32x4d-152 | 59.95 | 11.8 | 79.06 | 94.47 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/resnext152_32x4d_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext152_32x4d_batch256_20200708-aab5034c.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/resnext152_32x4d_batch256_20200708-aab5034c.log.json) |
| SE-ResNet-50 | 28.09 | 4.13 | 77.74 | 93.84 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/seresnet50_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/se-resnet50_batch256_20200804-ae206104.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/se-resnet50_batch256_20200708-657b3c36.log.json) |
| SE-ResNet-101 | 49.33 | 7.86 | 78.26 | 94.07 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/seresnet101_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/se-resnet101_batch256_20200804-ba5b51d4.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/se-resnet101_batch256_20200708-038a4d04.log.json) |
| ShuffleNetV1 1.0x (group=3) | 1.87 | 0.146 | 68.13 | 87.81 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/shufflenet_v1_1x_b64x16_linearlr_bn_nowd.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/shufflenet_v1_batch1024_20200804-5d6cec73.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/shufflenet_v1_batch1024_20200804-5d6cec73.log.json) |
| ShuffleNetV2 1.0x | 2.28 | 0.149 | 69.55 | 88.92 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/shufflenet_v2_1x_b64x16_linearlr_bn_nowd.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/shufflenet_v2_batch1024_20200812-5bf4721e.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/shufflenet_v2_batch1024_20200804-8860eec9.log.json) |
| MobileNet V2 | 3.5 | 0.319 | 71.86 | 90.42 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/imagenet/mobilenet_v2_b32x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/imagenet/mobilenet_v2_batch256_20200708-3b2dc3af.pth) | [log](https://download.openmmlab.com/mmclassification/v0/imagenet/mobilenet_v2_batch256_20200708-3b2dc3af.log.json) |
| VGG-11 | 132.86 | 7.63 | 69.03 | 88.63 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg11_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg11_imagenet-01ecd97e.pth)* |
| VGG-13 | 133.05 | 11.34 | 69.93 | 89.26 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg13_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg13_imagenet-9ad3945d.pth)*|
| VGG-16 | 138.36 | 15.5 | 71.59 | 90.39 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg16_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg16_imagenet-91b6d117.pth)*|
| VGG-19 | 143.67 | 19.67 | 72.38 | 90.88 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg19_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg19_imagenet-fee352a8.pth)*|
| VGG-11-BN | 132.87 | 7.64 | 70.37 | 89.81 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg11bn_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg11_bn_imagenet-6fbbbf3f.pth)*|
| VGG-13-BN | 133.05 | 11.36 | 71.55 | 90.37 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg13bn_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg13_bn_imagenet-4b5f9390.pth)*|
| VGG-16-BN | 138.37 | 15.53 | 73.36 | 91.5 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg16_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg16_bn_imagenet-3ac6d8fd.pth)*|
| VGG-19-BN | 143.68 | 19.7 | 74.24 | 91.84 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/vgg/vgg19bn_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/vgg/vgg19_bn_imagenet-7c058385.pth)*|
| ResNet-18 | 11.69 | 1.82 | 70.07 | 89.44 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet18_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_batch256_imagenet_20200708-34ab8f90.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_batch256_imagenet_20200708-34ab8f90.log.json) |
| ResNet-34 | 21.8 | 3.68 | 73.85 | 91.53 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet34_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet34_batch256_imagenet_20200708-32ffb4f7.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet34_batch256_imagenet_20200708-32ffb4f7.log.json) |
| ResNet-50 | 25.56 | 4.12 | 76.55 | 93.15 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet50_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_batch256_imagenet_20200708-cfb998bf.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_batch256_imagenet_20200708-cfb998bf.log.json) |
| ResNet-101 | 44.55 | 7.85 | 78.18 | 94.03 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet101_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet101_batch256_imagenet_20200708-753f3608.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet101_batch256_imagenet_20200708-753f3608.log.json) |
| ResNeSt-50 | 27.48 | 5.41 | 81.13 | 95.59 | | [model](https://download.openmmlab.com/mmclassification/v0/resnest/resnest50_imagenet_converted-1ebf0afe.pth) | [log]() |
| ResNeSt-101 | 48.28 | 10.27 | 82.32 | 96.24 | | [model](https://download.openmmlab.com/mmclassification/v0/resnest/resnest101_imagenet_converted-032caa52.pth) | [log]() |
| ResNeSt-200 | 70.2 | 17.53 | 82.41 | 96.22 | | [model](https://download.openmmlab.com/mmclassification/v0/resnest/resnest200_imagenet_converted-581a60f2.pth) | [log]() |
| ResNeSt-269 | 110.93 | 22.58 | 82.70 | 96.28 | | [model](https://download.openmmlab.com/mmclassification/v0/resnest/resnest269_imagenet_converted-59930960.pth) | [log]() |
| ResNet-152 | 60.19 | 11.58 | 78.63 | 94.16 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet152_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet152_batch256_imagenet_20200708-ec25b1f9.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet152_batch256_imagenet_20200708-ec25b1f9.log.json) |
| ResNetV1D-50 | 25.58 | 4.36 | 77.4 | 93.66 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnetv1d50_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnetv1d50_batch256_imagenet_20200708-1ad0ce94.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnetv1d50_batch256_imagenet_20200708-1ad0ce94.log.json) |
| ResNetV1D-101 | 44.57 | 8.09 | 78.85 | 94.38 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnetv1d101_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnetv1d101_batch256_imagenet_20200708-9cb302ef.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnetv1d101_batch256_imagenet_20200708-9cb302ef.log.json) |
| ResNetV1D-152 | 60.21 | 11.82 | 79.35 | 94.61 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnetv1d152_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnetv1d152_batch256_imagenet_20200708-e79cb6a2.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnetv1d152_batch256_imagenet_20200708-e79cb6a2.log.json) |
| ResNeXt-32x4d-50 | 25.03 | 4.27 | 77.92 | 93.74 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnext/resnext50_32x4d_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnext/resnext50_32x4d_batch256_imagenet_20200708-c07adbb7.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnext/resnext50_32x4d_batch256_imagenet_20200708-c07adbb7.log.json) |
| ResNeXt-32x4d-101 | 44.18 | 8.03 | 78.7 | 94.34 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnext/resnext101_32x4d_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnext/resnext101_32x4d_batch256_imagenet_20200708-87f2d1c9.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnext/resnext101_32x4d_batch256_imagenet_20200708-87f2d1c9.log.json) |
| ResNeXt-32x8d-101 | 88.79 | 16.5 | 79.22 | 94.52 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnext/resnext101_32x8d_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnext/resnext101_32x8d_batch256_imagenet_20200708-1ec34aa7.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnext/resnext101_32x8d_batch256_imagenet_20200708-1ec34aa7.log.json) |
| ResNeXt-32x4d-152 | 59.95 | 11.8 | 79.06 | 94.47 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnext/resnext152_32x4d_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnext/resnext152_32x4d_batch256_imagenet_20200708-aab5034c.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnext/resnext152_32x4d_batch256_imagenet_20200708-aab5034c.log.json) |
| SE-ResNet-50 | 28.09 | 4.13 | 77.74 | 93.84 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/seresnet50/seresnet50_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/se-resnet/se-resnet50_batch256_imagenet_20200804-ae206104.pth) | [log](https://download.openmmlab.com/mmclassification/v0/se-resnet/se-resnet50_batch256_imagenet_20200708-657b3c36.log.json) |
| SE-ResNet-101 | 49.33 | 7.86 | 78.26 | 94.07 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/seresnet101/seresnet101_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/se-resnet/se-resnet101_batch256_imagenet_20200804-ba5b51d4.pth) | [log](https://download.openmmlab.com/mmclassification/v0/se-resnet/se-resnet101_batch256_imagenet_20200708-038a4d04.log.json) |
| ShuffleNetV1 1.0x (group=3) | 1.87 | 0.146 | 68.13 | 87.81 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/shufflenet_v1/shufflenet_v1_1x_b64x16_linearlr_bn_nowd_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/shufflenet_v1/shufflenet_v1_batch1024_imagenet_20200804-5d6cec73.pth) | [log](https://download.openmmlab.com/mmclassification/v0/shufflenet_v1/shufflenet_v1_batch1024_imagenet_20200804-5d6cec73.log.json) |
| ShuffleNetV2 1.0x | 2.28 | 0.149 | 69.55 | 88.92 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/shufflenet_v2/shufflenet_v2_1x_b64x16_linearlr_bn_nowd_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/shufflenet_v2/shufflenet_v2_batch1024_imagenet_20200812-5bf4721e.pth) | [log](https://download.openmmlab.com/mmclassification/v0/shufflenet_v2/shufflenet_v2_batch1024_imagenet_20200804-8860eec9.log.json) |
| MobileNet V2 | 3.5 | 0.319 | 71.86 | 90.42 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/mobilenet_v2/mobilenet_v2_b32x8_imagenet.py) | [model](https://download.openmmlab.com/mmclassification/v0/mobilenet_v2/mobilenet_v2_batch256_imagenet_20200708-3b2dc3af.pth) | [log](https://download.openmmlab.com/mmclassification/v0/mobilenet_v2/mobilenet_v2_batch256_imagenet_20200708-3b2dc3af.log.json) |
Models with * are converted from other repos, others are trained by ourselves.
@ -43,8 +43,8 @@ Models with * are converted from other repos, others are trained by ourselves.
| Model | Params(M) | Flops(G) | Top-1 (%) | Config | Download |
|:---------------------:|:---------:|:--------:|:---------:|:--------:|:--------:|
| ResNet-18-b16x8 | 11.17 | 0.56 | 94.72 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/cifar10/resnet18_b16x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet18_b16x8_20200823-f906fa4e.pth) | [log](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet18_b16x8_20200823-f906fa4e.log.json) |
| ResNet-34-b16x8 | 21.28 | 1.16 | 95.34 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/cifar10/resnet34_b16x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet34_b16x8_20200823-52d5d832.pth) | [log](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet34_b16x8_20200823-52d5d832.log.json) |
| ResNet-50-b16x8 | 23.52 | 1.31 | 95.36 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/cifar10/resnet50_b16x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet50_b16x8_20200823-882aa7b1.pth) | [log](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet50_b16x8_20200823-882aa7b1.log.json) |
| ResNet-101-b16x8 | 42.51 | 2.52 | 95.66 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/cifar10/resnet101_b16x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet101_b16x8_20200823-d9501bbc.pth) | [log](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet101_b16x8_20200823-d9501bbc.log.json) |
| ResNet-152-b16x8 | 58.16 | 3.74 | 95.96 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/cifar10/resnet152_b16x8.py) | [model](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet152_b16x8_20200823-ad4d5d0c.pth) | [log](https://download.openmmlab.com/mmclassification/v0/cifar10/resnet152_b16x8_20200823-ad4d5d0c.log.json) |
| ResNet-18-b16x8 | 11.17 | 0.56 | 94.72 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet18_b16x8_cifar10.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_b16x8_cifar10_20200823-f906fa4e.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_b16x8_cifar10_20200823-f906fa4e.log.json) |
| ResNet-34-b16x8 | 21.28 | 1.16 | 95.34 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet34_b16x8_cifar10.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet34_b16x8_cifar10_20200823-52d5d832.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet34_b16x8_cifar10_20200823-52d5d832.log.json) |
| ResNet-50-b16x8 | 23.52 | 1.31 | 95.36 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet50_b16x8_cifar10.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_b16x8_cifar10_20200823-882aa7b1.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_b16x8_cifar10_20200823-882aa7b1.log.json) |
| ResNet-101-b16x8 | 42.51 | 2.52 | 95.66 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet101_b16x8_cifar10.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet101_b16x8_cifar10_20200823-d9501bbc.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet101_b16x8_cifar10_20200823-d9501bbc.log.json) |
| ResNet-152-b16x8 | 58.16 | 3.74 | 95.96 | [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/resnet/resnet152_b16x8_cifar10.py) | [model](https://download.openmmlab.com/mmclassification/v0/resnet/resnet152_b16x8_cifar10_20200823-ad4d5d0c.pth) | [log](https://download.openmmlab.com/mmclassification/v0/resnet/resnet152_b16x8_cifar10_20200823-ad4d5d0c.log.json) |