| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | SUN397 | Accuracy97.8 | 450 | |
| Image Classification | SUN397 | Accuracy98.4 | 425 | |
| Image Classification | SUN397 (test) | Top-1 Accuracy95.94 | 231 | |
| Generalized Zero-Shot Learning | SUN | H69.6 | 229 | |
| Zero-Shot Learning | SUN | Top-1 Accuracy80.2 | 132 | |
| Image Classification | SUN397 | Accuracy (Base)85.57 | 131 | |
| Out-of-Distribution Detection | SUN | FPR@9515.81 | 104 | |
| Image Classification | SUN397 | Top-1 Accuracy80.3 | 86 | |
| Image Classification | SUN | Harmonic Mean Top-1 Accuracy81.18 | 86 | |
| OOD detection | SUN (OOD) | AUROC95.33 | 81 | |
| Image Classification | SUN | Accuracy77.6 | 65 | |
| Base-to-Novel Generalization | SUN397 | Base Score83.92 | 55 | |
| Zero-shot Learning | SUN (unseen) | Top-1 Accuracy (%)70.9 | 50 | |
| Scene Recognition | SUN397 | Accuracy83.4 | 49 | |
| Scene Recognition | SUN397 base-to-new | Base Accuracy83.7 | 39 | |
| Few-shot Image Classification | SUN397 | Accuracy72.5 | 36 | |
| Model Selection | SUN397 | Weighted Kendall's Tau0.954 | 36 | |
| Scene Recognition | SUN 397 (test) | Top-1 Accuracy83.4 | 35 | |
| Far Out-of-Distribution Detection | SUN | FPR@953.76 | 32 | |
| Generalized Few-Shot Learning | Two-Level SUN distributions (test) | Harmonic Mean Acc_H48.2 | 32 | |
| Image-to-image retrieval | SUN397 | mAP50.1 | 30 | |
| Image Classification | SUN GZSL | Harmonic Mean61.2 | 29 | |
| TOS classification | SUN | Leaf Accuracy76.54 | 29 | |
| Super-Resolution | Sun80 | PSNR30.15 | 29 | |
| Image Classification | SUN397 | Accuracy84.86 | 28 |