| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | Aircraft | Accuracy94.8 | 302 | |
| Fine-grained Classification | Aircraft | Top-1 Acc94.9 | 62 | |
| Image Classification | Aircraft | Top-1 Acc57.4 | 43 | |
| Fine-grained Image Classification | Aircraft (test) | Best Accuracy84.17 | 40 | |
| Generalized Category Discovery | Aircraft (test) | Accuracy (All)71.1 | 38 | |
| Few-shot classification | Aircraft | Accuracy84.77 | 36 | |
| Few-shot Image Classification | Aircraft (test) | Mean Accuracy91.2 | 28 | |
| Image Classification | Aircraft (test) | Accuracy88.9 | 28 | |
| Image Classification | Aircraft | Mean Per-Class Accuracy85.8 | 26 | |
| Image Classification | Aircraft | Base Accuracy48.37 | 19 | |
| PTM Selection | Aircraft | Kendall's tau_w0.54 | 19 | |
| Fine-grained classification | Aircraft | Clean Accuracy25 | 18 | |
| Fine-grained classification | Aircraft 1.0 (test) | Top-1 Accuracy93 | 18 | |
| Fine-grained classification | Aircraft (test) | Accuracy95.4 | 18 | |
| Image Classification | Aircraft (full) | Accuracy88.8 | 16 | |
| Transferability Estimation | Aircraft | Weighted Kendall's Tau0.615 | 13 | |
| Image Classification | Aircraft | Error Rate44.196 | 12 | |
| Fine-grained Image Classification | Aircraft New classes | Accuracy37.63 | 12 | |
| Fine-grained Image Classification | Aircraft Base classes | Accuracy49.57 | 12 | |
| Visual Explanation Evaluation | Aircraft | Deletion Score0.037 | 12 | |
| Near Anomaly Detection | Aircraft | AUROC94.6 | 10 | |
| Object Recognition | Aircraft | MiniGPT-4 Score33.99 | 10 | |
| Image Classification | Aircraft original (test) | Accuracy88.8 | 10 | |
| Fine-grained classification | Aircraft | Mean per Class Score60.2 | 9 | |
| Object Detection | Aircraft | Mean PC Accuracy88.1 | 8 |