| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | Oxford-IIIT Pet | Accuracy97.1 | 219 | |
| Image Classification | Oxford-IIIT Pet | Top-1 Accuracy95.9 | 75 | |
| Image Classification | Oxford-IIIT Pet (test) | Overall Accuracy95.86 | 59 | |
| Image Classification | Oxford-IIIT Pet | Top-1 Accuracy96.54 | 39 | |
| Attribution Faithfulness | Oxford-IIIT Pet | Insertion AUC81.7 | 34 | |
| OOD detection | Oxford-IIIT Pet | AUROC99.99 | 21 | |
| Image Classification | Oxford-IIIT Pet | CA85.53 | 14 | |
| Image Classification | Oxford-IIIT Pet | Mean Per Class Accuracy0.971 | 14 | |
| Image Classification | Oxford-IIIT Pet 5-way 5-shot (test) | Accuracy95.44 | 13 | |
| Image Classification | Oxford-IIIT Pet 5-way 2-shot | Accuracy91.44 | 13 | |
| Attention Alignment | Oxford-IIIT-Pet (test) | Test IoU80.2 | 12 | |
| Explanation Quality Evaluation | Oxford-IIIT Pet (test) | Rank Acc (FeatPerm)37.2 | 11 | |
| Image Classification | Oxford-IIIT Pet | Top-1 Accuracy (Clean)85.9 | 11 | |
| Open-world Semi-Supervised Learning | Oxford-IIIT Pet 50% known / 50% novel classes (test) | Accuracy (Known)95.3 | 11 | |
| Fine-grained Image Classification | Oxford-IIIT Pets | Accuracy88.61 | 10 | |
| Fine-grained visual classification | Oxford-IIIT Pet (test) | Top-1 Accuracy88.97 | 10 | |
| Image Classification | Oxford-IIIT Pet Hue-shifted (test) | Accuracy72.94 | 10 | |
| Generalized Category Discovery | Oxford-IIIT Pet | Accuracy (All)93.2 | 7 | |
| Classification | Oxford-IIIT Pet (val) | Accuracy94.4 | 7 | |
| Image segmentation | Oxford-IIIT Pet | Accuracy85.45 | 6 | |
| Fine-grained Image Classification | Oxford-IIIT Pet | Accuracy (All)91.8 | 5 | |
| Localization | Oxford-IIIT Pet (test) | mIoU47 | 4 | |
| Image Classification | Oxford-IIIT Pet 16-shot | Accuracy94.44 | 3 | |
| Out-of-Distribution Retrieval | Oxford-IIIT Pet 80/20 class-disjoint OOD protocol | LP@10.9646 | 3 | |
| Image Classification | Oxford-IIIT Pet | AECE2.16 | 2 |