Fine-Grained Image Classification on Oxford Pets
96.28Base ScoreHiCroPL
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| HiCroPL2026.04 | 96.28 | 97.76 | 97.01 | — | |
| MMRL2026.04 | 95.9 | 97.6 | 96.74 | — | |
| GAPL2026.04 | 95.73 | 97.9 | 96.8 | — | |
| CoPrompt2026.04 | 95.67 | 98.1 | 96.87 | — | |
| ProMetaRShots=162024.04 | 95.57 | 97.43 | 96.49 | — | |
| MaPLeShots=162024.04 | 95.43 | 97.76 | 96.58 | — | |
| MaPLe2026.04 | 95.43 | 97.76 | 96.58 | — | |
| IVLPShots=162024.04 | 95.41 | 96.31 | 95.86 | — | |
| MMA2026.04 | 95.4 | 98.07 | 96.72 | — | |
| PromptSRCShots=162024.04 | 95.33 | 97.3 | 96.3 | — | |
| PromptSRC2026.04 | 95.33 | 97.3 | 96.3 | — | |
| CoCoOpShots=162024.04 | 95.2 | 97.69 | 96.43 | — | |
| CoCoOp2026.04 | 95.2 | 97.69 | 96.43 | — | |
| UNIGRAMShots=162024.04 | 94.94 | 97.94 | 96.42 | — | |
| TCP2026.04 | 94.67 | 97.2 | 95.92 | — | |
| KgCoOp2026.04 | 94.65 | 97.76 | 96.18 | — | |
| RPOShots=162024.04 | 94.63 | 97.5 | 96.05 | — | |
| CoOpShots=162024.04 | 93.67 | 95.29 | 94.47 | — | |
| CoOp2026.04 | 93.67 | 95.29 | 94.47 | — | |
| CLIPShots=Zero-shot2024.04 | 91.17 | 97.26 | 94.12 | — | |
| AutoVPPre-trained Backbone=ViT-B/322026.06 | — | — | — | 92.12 | |
| CLIPProtocol=Base-to-novel generalization2025.12 | — | — | — | 94.12 | |
| CoCoOpProtocol=Base-to-novel generalization2025.12 | — | — | — | 96.43 | |
| CoOpProtocol=Base-to-novel generalization2025.12 | — | — | — | 95.23 | |
| FARLProtocol=Base-to-novel generalization2025.12 | — | — | — | 96.86 | |
| KgCoOpProtocol=Base-to-novel generalization2025.12 | — | — | — | 96.18 | |
| LoR-VPPre-trained Backbone=ViT-B/322026.06 | — | — | — | 92.18 | |
| LoRSPPre-trained Backbone=ViT-B/322026.06 | — | — | — | 93.54 | |
| LPPre-trained Backbone=ViT-B/322026.06 | — | — | — | 91.9 | |
| MaPLeProtocol=Base-to-novel generalization2025.12 | — | — | — | 96.58 | |
| MetaPromptProtocol=Base-to-novel generalization2025.12 | — | — | — | 96.26 | |
| MMAProtocol=Base-to-novel generalization2025.12 | — | — | — | 96.72 | |
| MMRLProtocol=Base-to-novel generalization2025.12 | — | — | — | 96.56 | |
| PLOTProtocol=Base-to-novel generalization2025.12 | — | — | — | 95.65 | |
| ProVPProtocol=Base-to-novel generalization2025.12 | — | — | — | 96.75 | |
| TCPProtocol=Base-to-novel generalization2025.12 | — | — | — | 95.92 | |
| VPTPre-trained Backbone=ViT-B/322026.06 | — | — | — | 92.27 |