Image Classification on 11 Datasets Average (New Class)
77.49Natural AccuracyFARL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FARLProtocol=Base-to-novel generalization2025.12 | 77.49 | — | |
| MMAProtocol=Base-to-novel generalization2025.12 | 76.94 | — | |
| MMRLProtocol=Base-to-novel generalization2025.12 | 76.19 | — | |
| MetaPromptProtocol=Base-to-novel generalization2025.12 | 75.48 | — | |
| TCPProtocol=Base-to-novel generalization2025.12 | 75.36 | — | |
| MaPLeProtocol=Base-to-novel generalization2025.12 | 75.14 | — | |
| CLIPProtocol=Base-to-novel generalization2025.12 | 74.22 | — | |
| KgCoOpProtocol=Base-to-novel generalization2025.12 | 73.61 | — | |
| ProVPProtocol=Base-to-novel generalization2025.12 | 73.23 | — | |
| PLOTProtocol=Base-to-novel generalization2025.12 | 71.72 | — | |
| CoCoOpProtocol=Base-to-novel generalization2025.12 | 71.69 | — | |
| CoOpProtocol=Base-to-novel generalization2025.12 | 67.96 | — | |
| FAP2024.03 | 49.58 | 21.86 | |
| AdvVLP2024.03 | 46.92 | 21.61 | |
| AdvMaPLe2024.03 | 46.18 | 20.25 | |
| AdvVP2024.03 | 30.39 | 13.36 |