Image Classification on ImageNet-R (Tau Metrics Evaluation)
311Tau (Training)EASE
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| EASEBackbone=ViT-B/162025.10 | 311 | 274.36 | 81.69 | |
| L2PBackbone=ViT-B/162025.10 | 131.97 | 110.56 | 76.13 | |
| DualpromptBackbone=ViT-B/162025.10 | 117.8 | 96.58 | 73.92 | |
| RanPACBackbone=ViT-B/162025.10 | 76.25 | 67.71 | 83.02 | |
| SEMABackbone=ViT-B/162025.10 | 68.85 | 47.34 | 81.89 | |
| MoE-AdapterBackbone=ViT-B/162025.10 | 66.37 | 45.02 | 81.76 | |
| InfLoRABackbone=ViT-B/162025.10 | 62.32 | 41.05 | 82.15 | |
| F-OALBackbone=ViT-B/162025.10 | 16.51 | 8.8 | 80.62 | |
| Fly-CLBackbone=ViT-B/162025.10 | 7.55 | 0.21 | 83.19 |