Image Classification on Cars (Adversarial Test)
78.4Clean Top-1 AccuracyMTA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MTABackbone=ViT-L/14, Perturbation budget (epsilon)=4/2552026.06 | 78.4 | 36.6 | |
| R-TPTBackbone=ViT-L/14, Perturbation budget (epsilon)=4/2552026.06 | 77.2 | 49.1 | |
| CLIPBackbone=ViT-L/14, Perturbation budget (epsilon)=4/2552026.06 | 76.8 | 0 | |
| TTPBackbone=ViT-L/14, Perturbation budget (epsilon)=4/2552026.06 | 76.8 | 51.1 | |
| EnsembleBackbone=ViT-L/14, Perturbation budget (epsilon)=4/2552026.06 | 76.3 | 40.5 | |
| T-VSSBackbone=ViT-L/14, Perturbation budget (epsilon)=4/2552026.06 | 76.3 | 63.2 | |
| TTCBackbone=ViT-L/14, Perturbation budget (epsilon)=4/2552026.06 | 67.8 | 2.2 | |
| MTABackbone=ViT-B/16, Perturbation budget (epsilon)=4/2552026.06 | 67.7 | 18.5 | |
| R-TPTBackbone=ViT-B/16, Perturbation budget (epsilon)=4/2552026.06 | 67 | 34.7 | |
| T-VSSBackbone=ViT-B/16, Perturbation budget (epsilon)=4/2552026.06 | 65.8 | 54.5 | |
| EnsembleBackbone=ViT-B/16, Perturbation budget (epsilon)=4/2552026.06 | 65.7 | 26 | |
| CLIPBackbone=ViT-B/16, Perturbation budget (epsilon)=4/2552026.06 | 65.5 | 0 | |
| TTPBackbone=ViT-B/16, Perturbation budget (epsilon)=4/2552026.06 | 65.4 | 37.4 | |
| MTABackbone=ResNet-50, Perturbation budget (epsilon)=1/2552026.06 | 58.7 | 17.8 | |
| TPTBackbone=ResNet-50, Perturbation budget (epsilon)=1/2552026.06 | 58.4 | 0 | |
| R-TPTBackbone=ResNet-50, Perturbation budget (epsilon)=1/2552026.06 | 58.1 | 42.9 | |
| EnsembleBackbone=ResNet-50, Perturbation budget (epsilon)=1/2552026.06 | 57.1 | 36.2 | |
| C-TPTBackbone=ResNet-50, Perturbation budget (epsilon)=1/2552026.06 | 56.6 | 0 | |
| CLIPBackbone=ResNet-50, Perturbation budget (epsilon)=1/2552026.06 | 55.7 | 0 | |
| TTPBackbone=ResNet-50, Perturbation budget (epsilon)=1/2552026.06 | 55.6 | 38.9 | |
| T-VSSBackbone=ResNet-50, Perturbation budget (epsilon)=1/2552026.06 | 55.6 | 54.7 | |
| TTCBackbone=ViT-B/16, Perturbation budget (epsilon)=4/2552026.06 | 55 | 2.9 |