Image Classification on ImageNet FGSM (val)
63.77Top-1 AccMAE-H + DAT
Evaluation Results
| Method | Links | |
|---|---|---|
| MAE-H + DATBackbone=ViT-Huge2022.09 | 63.77 | |
| MAE-HBackbone=ViT-Huge2022.09 | 60.16 | |
| AugReg-ViT + DATBackbone=ViT-B/162022.09 | 51.82 | |
| DrViTBackbone=ViT-B/162022.09 | 45.76 | |
| AugReg-ViTBackbone=ViT-B/162022.09 | 44.32 | |
| DeepAugment + Augmix + DATBackbone=ResNet502022.09 | 35.32 | |
| ResNet50 + DATBackbone=ResNet502022.09 | 30.66 | |
| DeepAugment + AugmixBackbone=ResNet502022.09 | 27.05 | |
| ViTBackbone=ViT-B/162022.09 | 23.3 | |
| DeepAugmentBackbone=ResNet502022.09 | 21.61 | |
| ResNet50Backbone=ResNet502022.09 | 12.19 |