| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | Oxford Pets (test) | Accuracy99.36 | 125 | |
| Image Classification | Oxford Pets | Top-1 Acc96.4 | 94 | |
| Image Classification | Oxford Pets | Base Accuracy96.52 | 60 | |
| Generalized Category Discovery | Oxford Pets | Accuracy (All)95.7 | 50 | |
| Classification | Oxford Pets zero-shot | Accuracy (Zero-Shot)97.6 | 26 | |
| Classification | Oxford Pets | Accuracy90.38 | 23 | |
| Fine-Grained Image Classification | Oxford Pets | Base Score96.28 | 20 | |
| Adversarial Attack | Oxford Pets 2012 (test) | ASR (ResNet-50)100 | 19 | |
| Image Classification | Oxford Pets | Accuracy90.1 | 15 | |
| Online Category Discovery | Oxford Pets | Accuracy (All)78.1 | 12 | |
| Image Classification | Oxford Pets Luminance Shifted | Classification Error62.85 | 9 | |
| Image Classification | Oxford Pets Saturation Shifted | Classification Error38.91 | 9 | |
| Image Classification | Oxford-PETS 37 classes | Communication Steps815 | 6 | |
| 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 |