| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | Oxford Pets | Top-1 Acc96.4 | 86 | |
| Image Classification | Oxford Pets | Base Accuracy96.52 | 38 | |
| Image Classification | Oxford Pets (test) | Accuracy99.36 | 35 | |
| Classification | Oxford Pets | Accuracy90.38 | 23 | |
| Fine-Grained Image Classification | Oxford Pets | Accuracy96.86 | 12 | |
| Generalized Category Discovery | Oxford Pets | Accuracy (All)95.7 | 11 | |
| Image Classification | Oxford Pets | Accuracy90.1 | 7 | |
| Classification | Oxford Pets zero-shot | Accuracy (Zero-Shot)92.13 | 7 | |
| On-the-fly Category Discovery | Oxford Pets (test) | Accuracy (All)48.3 | 5 | |
| Out-of-distribution detection | Oxford Pets (test) | AURC0.112 | 4 | |
| Object Detection | Oxford Pets | AP85.9 | 4 | |
| Generalization Gap Prediction | Oxford Pets | CMI Score18.46 | 2 | |
| Image Classification | Oxford-Pets | Train Error0 | 1 | |
| Classification | Oxford Pets few-shot to high-shot | Metric- | 0 | |
| Classification | Oxford Pets | Metric- | 0 |