| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | SUN397 | Accuracy82.4 | 116 | |
| Image Classification | SUN397 base-to-new generalization | New Accuracy79.63 | 48 | |
| Fine-grained Classification | SUN397 | Top-1 Accuracy78.4 | 39 | |
| Image Classification | SUN397 | Robust Accuracy36.39 | 31 | |
| Fine-grained classification | SUN397 (novel classes) | ECE0.77 | 28 | |
| Fine-grained classification | SUN397 (base classes) | Accuracy81.68 | 27 | |
| Image Classification | SUN397 | AutoAttack Robustness54.26 | 19 | |
| Image Classification | SUN397 novel classes | Accuracy80.18 | 18 | |
| Image Classification | SUN397 MDCII Order-II | Transfer Accuracy81.8 | 15 | |
| Image Classification | SUN397 Base | Top-1 Accuracy83.7 | 14 | |
| Image Classification | SUN397 MDCII Order-I | Transfer Accuracy71.1 | 13 | |
| Image Classification | SUN397 Base-to-Novel | Base Accuracy83.2 | 12 | |
| Scene Recognition | SUN397 New classes | Accuracy79.2 | 12 | |
| Scene Recognition | SUN397 Base classes | Accuracy83.23 | 12 | |
| Scene Classification | SUN397 | Base Accuracy83.23 | 11 | |
| Classification | SUN397 Natural imbalance (test) | bACC33.3 | 11 | |
| Classification | SUN397 | Robust Accuracy41.52 | 10 | |
| Image Classification | SUN397 (first split) | Accuracy66.2 | 10 | |
| Image Classification | SUN397 (test) | Accuracy (K=5)49.3 | 9 | |
| Image Classification | SUN397 | Base Score82.69 | 8 | |
| Out-Of-Distribution Detection | SUN397 (test) | AUROC0.59 | 8 | |
| Image Classification | SUN397 16-shot | Accuracy66.7 | 7 | |
| Image Classification | SUN397 all-to-all | Accuracy68.3 | 7 | |
| Image Classification | SUN397 2010 (H) | Top-1 Accuracy80.35 | 6 | |
| Image Classification | SUN397 2010 (New classes) | Top-1 Accuracy78.7 | 6 |