| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | Oxford-IIIT Pets | Accuracy97.9 | 259 | |
| Image Classification | Oxford-IIIT Pets (test) | Mean Accuracy97.56 | 125 | |
| Fine-grained Image Classification | Oxford-IIIT Pets | Accuracy97.3 | 29 | |
| Image Classification | Oxford-IIIT Pets | Accuracy94.1 | 26 | |
| Image Classification | Oxford-IIIT Pets (val) | Top-1 Acc96.1 | 13 | |
| Fine grained classification | Oxford-IIIT Pets | Top-1 Accuracy99.6 | 13 | |
| Fine-grained classification | Oxford-IIIT Pets base classes | Mean Class Error (MCE)31 | 12 | |
| Image Classification | Oxford-IIIT Pets all-to-all | Accuracy92 | 7 | |
| Fine-grained Visual Categorization | Oxford-IIIT Pets (test) | Accuracy97.3 | 6 | |
| Image Classification | Oxford IIIT Pets | Top-1 Error Rate2.9 | 5 | |
| Image Classification | Oxford-IIIT Pets 8-shot | Accuracy95.2 | 3 | |
| Classification | Oxford-IIIT Pets | Balanced Accuracy56.9 | 3 | |
| Image Recognition | Oxford-IIIT Pets | Top-1 Accuracy97.4 | 1 |