Image Classification on ImageNet and ImageNet-V2
81.9ImageNet AccuracyAugReg-ViT + DAT + DAD
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| AugReg-ViT + DAT + DADBackbone=ViT-B/16, Resolution=224x2242023.11 | 81.9 | 71.7 | 76.8 | |
| AugReg-ViT + Pyramid ATBackbone=ViT-B/16, Resolution=224x2242023.11 | 81.7 | 70.3 | 76 | |
| AugReg-ViT + DATBackbone=ViT-B/16, Resolution=224x2242023.11 | 81.5 | 70.8 | 76.2 | |
| CLIPBackbone=ViT-L/14, Resolution=224x2242023.11 | 79.9 | 72.9 | 76.4 | |
| AugReg-ViTBackbone=ViT-B/16, Resolution=224x2242023.11 | 79.9 | 67.9 | 73.9 | |
| AugReg-ViT + DADBackbone=ViT-B/16, Resolution=224x2242023.11 | 79.6 | 69.9 | 74.8 | |
| AdvpropBackbone=ViT-B/16, Resolution=224x2242023.11 | 79.5 | 68.7 | 74.1 | |
| DebiasedBackbone=ViT-B/16, Resolution=224x2242023.11 | 79.3 | 67.6 | 73.5 | |
| Fast AdvpropBackbone=ViT-B/16, Resolution=224x2242023.11 | 79 | 67 | 73 | |
| DAT + DADBackbone=ResNet50, Resolution=224x2242023.11 | 77.8 | 66 | 71.9 | |
| AdvpropBackbone=ResNet50, Resolution=224x2242023.11 | 77.6 | 65.5 | 71.6 | |
| DebiasedBackbone=ResNet50, Resolution=224x2242023.11 | 76.9 | 65 | 71 | |
| DATBackbone=ResNet50, Resolution=224x2242023.11 | 76.5 | 65 | 70.8 | |
| ResNet50Backbone=ResNet50, Resolution=224x2242023.11 | 76.1 | 63.2 | 69.7 | |
| DADBackbone=ResNet50, Resolution=224x2242023.11 | 75.7 | 65 | 70.4 | |
| Pyramid ATBackbone=ResNet50, Resolution=224x2242023.11 | 75.5 | 62.5 | 69 | |
| ViTBackbone=ViT-B/16, Resolution=224x2242023.11 | 72.8 | 58.7 | 65.8 |