| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | SUN397 base-to-new generalization | New Accuracy79.63 | 48 | |
| Fine-grained classification | SUN397 (novel classes) | ECE0.77 | 28 | |
| Fine-grained classification | SUN397 (base classes) | Accuracy81.68 | 27 | |
| Fine-grained Classification | SUN397 | Top-1 Accuracy78.4 | 25 | |
| Image Classification | SUN397 novel classes | Accuracy80.18 | 18 | |
| Image Classification | SUN397 Base | Top-1 Accuracy83.7 | 14 | |
| Scene Recognition | SUN397 New classes | Accuracy79.2 | 12 | |
| Scene Recognition | SUN397 Base classes | Accuracy83.23 | 12 | |
| Classification | SUN397 Natural imbalance (test) | bACC33.3 | 11 | |
| Image Classification | SUN397 | AutoAttack Robustness24.56 | 10 | |
| Classification | SUN397 | Robust Accuracy41.52 | 10 | |
| Image Classification | SUN397 (first split) | Accuracy66.2 | 10 | |
| Out-Of-Distribution Detection | SUN397 (test) | AUROC0.59 | 8 | |
| Image Classification | SUN397 all-to-all | Accuracy68.3 | 7 | |
| Image Classification | SUN397 | Acc (1-shot)70.68 | 6 | |
| Image Classification | SUN397 | ACE3.3 | 5 | |
| Image Classification | SUN397 (seen) | Accuracy80.6 | 4 | |
| Image Classification | SUN397 unseen prompts | Accuracy77.87 | 4 | |
| Classification | SUN397 split 1 (test) | Accuracy65.6 | 4 | |
| Scene & action recognition | SUN397 T=30 | Last Task Accuracy (AT)83.73 | 1 |