Image Classification on Caltech-101 (Acc, ECE)
93.95AccuracyO-TPT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| O-TPTBackbone=CLIP-ViTB/162025.03 | 93.95 | 3.8 | |
| O-TPTBackbone=CLIP-ViTB/162025.03 | 93.95 | 3.8 | |
| TPTBackbone=CLIP-ViTB/162025.03 | 93.8 | 4.51 | |
| TPTBackbone=CLIP-ViTB/162025.03 | 93.8 | 4.51 | |
| C-TPTBackbone=CLIP-ViTB/162025.03 | 93.63 | 4.24 | |
| Robust-adapt-SaLs-CTPTBackbone=CLIP-ViTB/162025.03 | 93.63 | 3.78 | |
| C-TPTBackbone=CLIP-ViTB/162025.03 | 93.63 | 4.24 | |
| Robust-adapt-SaLs-CTPTBackbone=CLIP-ViTB/162025.03 | 93.63 | 3.78 | |
| Robust-adapt-Penalty-CTPTBackbone=CLIP-ViTB/162025.03 | 93.47 | 4.56 | |
| Robust-adapt-Penalty-CTPTBackbone=CLIP-ViTB/162025.03 | 93.47 | 4.56 | |
| Robust-adapt-ZS-CTPTBackbone=CLIP-ViTB/162025.03 | 93.31 | 4.34 | |
| Robust-adapt-ZS-CTPTBackbone=CLIP-ViTB/162025.03 | 93.31 | 4.34 | |
| Zero ShotBackbone=CLIP-ViTB/162025.03 | 92.9 | 5.5 | |
| Zero ShotBackbone=CLIP-ViTB/162025.03 | 92.9 | 5.5 | |
| TPTBackbone=CLIP RN502025.03 | 87 | 5.04 | |
| C-TPTBackbone=CLIP RN502025.03 | 86.9 | 2.07 | |
| O-TPTBackbone=CLIP RN502025.03 | 86.86 | 2.75 | |
| Robust-adapt-ZS-CTPTBackbone=CLIP RN502025.03 | 86.65 | 4.66 | |
| Robust-adapt-SaLs-CTPTBackbone=CLIP RN502025.03 | 86.53 | 4.38 | |
| Robust-adapt-Penalty-CTPTBackbone=CLIP RN502025.03 | 86.45 | 2.7 | |
| Zero ShotBackbone=CLIP RN502025.03 | 85.8 | 4.33 |