| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | Oxford-IIIT Pet | Accuracy97.1 | 161 | |
| Image Classification | Oxford-IIIT Pet (test) | Overall Accuracy95.86 | 59 | |
| Image Classification | Oxford-IIIT Pet | Top-1 Accuracy92.6 | 28 | |
| 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 | |
| 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 | |
| Open-world Semi-Supervised Learning | Oxford-IIIT Pet 50% known / 50% novel classes (test) | Accuracy (Known)0.671 | 5 | |
| Fine-grained Image Classification | Oxford-IIIT Pet | Accuracy (All)91.8 | 5 | |
| Classification | Oxford-IIIT Pet 25% labeled data | Seen Accuracy59.1 | 2 |