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upload ImageNet checkpoints
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mzhaoshuai committed Nov 26, 2020
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15 changes: 15 additions & 0 deletions .editorconfig
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22 changes: 11 additions & 11 deletions miscs/checkpoints.md
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Expand Up @@ -12,17 +12,17 @@ Each zip file contains 4 types of files

| Methods | Top-1./Top-5 Acc (%) | # MParams/GFLOPs | Checkpoints |
|-----------------------------------|-----------------------|---------------------|--------------|
| ResNet-50, 224px | 78.84 / 94.47 | 25.7 / 5.5 | [resnet50_split1_imagenet_256_06](TODO) |
| ResNet-110, 224px | 80.16 / 94.54 | 44.8 / 9.2 | [resnet101_split1_imagenet_256_01](TODO) |
| WRN-50-2, 224px | 80.66 / 95.16 | 68.9 / 12.8 | [wide_resnet50_2_split1_imagenet_256_01](TODO) |
| WRN-50-2, S=2, 224px | 79.64 / 94.82 | 51.4 / 10.9 | [wide_resnet50_2_split2_imagenet_256_02](TODO) |
| WRN-50-3, 224px | 80.74 / 95.40 | 135.0 / 23.8 | [wide_resnet50_3_split1_imagenet_256_01](TODO) |
| WRN-50-3, S=2, 224px | 81.42 / 95.62 | 138.0 / 25.6 | [wide_resnet50_3_split2_imagenet_256_02](TODO) |
| ResNeXt-101, 64x4d, 224px | 81.57 / 95.73 | 83.6 / 16.9 | [resnext101_64x4d_split1_imagenet_256_01](TODO) |
| ResNeXt-101, 64x4d, S=2, 224px | 82.13 / 95.98 | 88.6 / 18.8 | [resnext101_64x4d_split2_imagenet_256_02](TODO) |
| EfficientNet-B7, 320px | 81.83 / 95.78 | 66.7 / 10.6 | [efficientnetb7_split1_imagenet_128_03](TODO) |
| EfficientNet-B7, S=2, 320px | 82.74 / 96.30 | 68.2 / 10.5 | [efficientnetb7_split2_imagenet_128_02](TODO) |
| SE-ResNeXt-101, 64x4d, S=2, 416px | 83.34 / 96.61 | 98.0 / 61.1 | [se_resnext101_64x4d_split2_imagenet_128_02](TODO) |
| ResNet-50, 224px | 78.84 / 94.47 | 25.7 / 5.5 | [resnet50_split1_imagenet_256_06](https://github.com/mzhaoshuai/SplitNet-Divide-and-Co-training/releases/download/1.0.0/resnet50_split1_imagenet_256_06.zip) |
| ResNet-110, 224px | 80.16 / 94.54 | 44.8 / 9.2 | [resnet101_split1_imagenet_256_01](https://github.com/mzhaoshuai/SplitNet-Divide-and-Co-training/releases/download/1.0.0/resnet101_split1_imagenet_256_01.zip) |
| WRN-50-2, 224px | 80.66 / 95.16 | 68.9 / 12.8 | [wide_resnet50_2_split1_imagenet_256_01](https://github.com/mzhaoshuai/SplitNet-Divide-and-Co-training/releases/download/1.0.0/wide_resnet50_2_split1_imagenet_256_01.zip) |
| WRN-50-2, S=2, 224px | 79.64 / 94.82 | 51.4 / 10.9 | [wide_resnet50_2_split2_imagenet_256_02](https://github.com/mzhaoshuai/SplitNet-Divide-and-Co-training/releases/download/1.0.0/wide_resnet50_2_split2_imagenet_256_02.zip) |
| WRN-50-3, 224px | 80.74 / 95.40 | 135.0 / 23.8 | [wide_resnet50_3_split1_imagenet_256_01](https://github.com/mzhaoshuai/SplitNet-Divide-and-Co-training/releases/download/1.0.0/wide_resnet50_3_split1_imagenet_256_01.zip) |
| WRN-50-3, S=2, 224px | 81.42 / 95.62 | 138.0 / 25.6 | [wide_resnet50_3_split2_imagenet_256_02](https://github.com/mzhaoshuai/SplitNet-Divide-and-Co-training/releases/download/1.0.0/wide_resnet50_3_split2_imagenet_256_02.zip) |
| ResNeXt-101, 64x4d, 224px | 81.57 / 95.73 | 83.6 / 16.9 | [resnext101_64x4d_split1_imagenet_256_01](https://github.com/mzhaoshuai/SplitNet-Divide-and-Co-training/releases/download/1.0.0/resnext101_64x4d_split1_imagenet_256_01.zip) |
| ResNeXt-101, 64x4d, S=2, 224px | 82.13 / 95.98 | 88.6 / 18.8 | [resnext101_64x4d_split2_imagenet_256_02](https://github.com/mzhaoshuai/SplitNet-Divide-and-Co-training/releases/download/1.0.0/resnext101_64x4d_split2_imagenet_256_02.zip) |
| EfficientNet-B7, 320px | 81.83 / 95.78 | 66.7 / 10.6 | [efficientnetb7_split1_imagenet_128_03](https://github.com/mzhaoshuai/SplitNet-Divide-and-Co-training/releases/download/1.0.0/efficientnetb7_split1_imagenet_128_03.zip) |
| EfficientNet-B7, S=2, 320px | 82.74 / 96.30 | 68.2 / 10.5 | [efficientnetb7_split2_imagenet_128_02](https://github.com/mzhaoshuai/SplitNet-Divide-and-Co-training/releases/download/1.0.0/efficientnetb7_split2_imagenet_128_02.zip) |
| SE-ResNeXt-101, 64x4d, S=2, 416px | 83.34 / 96.61 | 98.0 / 61.1 | [se_resnext101_64x4d_split2_imagenet_128_02](https://github.com/mzhaoshuai/SplitNet-Divide-and-Co-training/releases/download/1.0.0/se_resnext101_64x4d_split2_imagenet_128_02.zip) |


## CIFAR-100
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