Image Classification on ImageNet (test) (Base/Novel/HM)
77.9Base AccuracyMMRL* + ReBaPL
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MMRL* + ReBaPLre-run=true, distance metric=Wasserstein distance2025.11 | 77.9 | 68.83 | 73.09 | |
| MMRL*re-run=true2025.11 | 77.55 | 67.43 | 72.14 | |
| PromptSRC*re-run=true2025.11 | 76.77 | 67.8 | 72.01 | |
| CoOp2025.11 | 76.47 | 67.88 | 71.92 | |
| MaPLe* + ReBaPLre-run=true, distance metric=MMD2025.11 | 76.06 | 68.8 | 72.25 | |
| CoCoOp2025.11 | 75.98 | 70.43 | 73.1 | |
| MaPLe*re-run=true2025.11 | 74.96 | 66.97 | 70.74 | |
| CLIP2025.11 | 72.43 | 68.14 | 70.22 | |
| APP2025.11 | 69.9 | 63.2 | 66.4 |