Image Classification on ImageNet Cross-Dataset Evaluation Suite
72.77Source Domain Accuracy (ImageNet)TAC
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TAC2026.03 | 72.77 | 66.53 | 94.53 | 90.67 | 65.3 | 72.2 | 85.83 | 23.53 | 67.63 | 47.57 | 48.07 | 70 | |
| MMRL2026.03 | 72.03 | 67.25 | 94.67 | 91.43 | 66.1 | 72.77 | 86.4 | 26.3 | 67.57 | 45.9 | 53.1 | 68.27 | |
| CoOp2026.03 | 71.51 | 63.88 | 93.7 | 89.14 | 64.51 | 68.71 | 85.3 | 18.47 | 64.15 | 41.92 | 46.39 | 66.55 | |
| DeAR2026.03 | 71.5 | 67.6 | 95 | 91.23 | 66.7 | 73.8 | 86.8 | 26.5 | 68.3 | 45.4 | 53.5 | 68.8 | |
| PromptSRC2026.03 | 71.27 | 65.81 | 93.6 | 90.25 | 65.7 | 70.25 | 86.15 | 23.9 | 67.1 | 46.87 | 45.5 | 68.75 | |
| MaPLe2026.03 | 70.72 | 66.3 | 93.53 | 90.49 | 65.57 | 72.23 | 86.2 | 24.74 | 67.01 | 46.49 | 48.06 | 68.69 | |
| CoOpOp2026.05 | 70.62 | 65.69 | 94.52 | 90.47 | 65.91 | 71.92 | 86.02 | 23.34 | 66.54 | 45.51 | 44.43 | 68.24 | |
| RPO2026.05 | 69.69 | 65.31 | 93.75 | 89.13 | 66.25 | 70.6 | 85.07 | 24.25 | 66.95 | 45.86 | 43.95 | 67.29 | |
| CLIP-Adapter2026.05 | 68.64 | 65.41 | 93.5 | 88.91 | 64.9 | 70.48 | 85.88 | 24.66 | 65.5 | 45.21 | 48.22 | 66.79 |