Image Classification on ImageNet-Adversarial (IN-A)
54.72Top-1 AccuracyTRACER
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| TRACERBackbone=ViT-B/162026.05 | 54.72 | 65.46 | |
| CaRotBackbone=ViT-B/162026.05 | 51.57 | 64.03 | |
| Model StockBackbone=ViT-B/162026.05 | 51.23 | 62.4 | |
| ARFBackbone=ViT-B/162026.05 | 50.27 | 62.63 | |
| ZSBackbone=ViT-B/162026.05 | 49.95 | 59.46 | |
| Lipsum-FTBackbone=ViT-B/162026.05 | 49.87 | 62.7 | |
| CAR-FTBackbone=ViT-B/162026.05 | 49.53 | 62.98 | |
| FLYPBackbone=ViT-B/162026.05 | 48.49 | 60.61 | |
| LP-FTBackbone=ViT-B/162026.05 | 46.32 | 59.38 | |
| Static SDBackbone=ViT-B/162026.05 | 42.33 | 59.55 | |
| L2-SPBackbone=ViT-B/162026.05 | 39.73 | 57.34 | |
| Direct FTBackbone=ViT-B/162026.05 | 39.23 | 57.08 |