Image Classification on Eurosat (Novel)
72.87Top-1 AccuracyMaPLe
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MaPLe2023.11 | 72.87 | — | |
| PromptAlign2023.11 | 72.71 | — | |
| MaPLe+TPTtest-time prompt tuning=true2023.11 | 68.96 | — | |
| ProDA2023.11 | 66 | — | |
| TCPTBackbone=ViT-B/322026.02 | 56.55 | 9.14 | |
| CoOpBackbone=ViT-B/322026.02 | 56.47 | 17.18 | |
| ZS-NormBackbone=ViT-B/322026.02 | 52.04 | 14.8 | |
| PenaltyBackbone=ViT-B/322026.02 | 44.66 | 10.71 | |
| TCPTBackbone=RN-502026.02 | 42.75 | 10.93 | |
| ZS-NormBackbone=RN-502026.02 | 40.08 | 9.24 | |
| CoOpBackbone=RN-502026.02 | 34.15 | 22.18 | |
| PenaltyBackbone=RN-502026.02 | 31.57 | 11.67 |