Image Classification on Average 11 datasets (test)
85.74Base AccuracyMMRL* + ReBaPL
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MMRL* + ReBaPLre-run=true, distance metric=Wasserstein distance2025.11 | 85.74 | 77.44 | 81.38 | |
| MMRL*re-run=true2025.11 | 85.54 | 76.52 | 80.59 | |
| PromptSRC*re-run=true2025.11 | 84.93 | 74.49 | 78.61 | |
| MaPLe* + ReBaPLre-run=true, distance metric=MMD2025.11 | 83.28 | 76.08 | 79.52 | |
| APP2025.11 | 83 | 65.8 | 72.61 | |
| CoOp2025.11 | 82.69 | 63.22 | 70.83 | |
| MaPLe*re-run=true2025.11 | 82.03 | 75.03 | 78.37 | |
| CoCoOp2025.11 | 80.47 | 71.69 | 75.83 | |
| CLIP2025.11 | 69.34 | 74.22 | 71.7 |