| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| SUN397 | GLA | Accuracy83.4 | 34 | 4d ago | |
| SUN 397 (test) | GLA | Top-1 Accuracy83.4 | 29 | 4d ago | |
| SUN RGB-D Scene (test) | Finetuned ResNet101-RNN | Acc (RGB-D)60.7 | 25 | 4d ago | |
| MIT indoor 67 (val) | FOSNet | Accuracy90.37 | 22 | 4d ago | |
| SUN 397 (val) | Accuracy78.93 | 19 | 4d ago | ||
| Places-365 | VIC-MAE | Top-1 Acc60.7 | 18 | 2d ago | |
| MIT Indoor 67 | Semantic-Aware Scene Recognition | Top-1 Accuracy87.1 | 18 | 4d ago | |
| SUN397 base-to-new | ProMetaR | Base Accuracy82.7 | 16 | 4d ago | |
| MIT-67 (test) | CSRRM | Accuracy88.731 | 13 | 4d ago | |
| SUN397 New classes | MMRL | Accuracy79.2 | 12 | 4d ago | |
| SUN397 Base classes | MMRL | Accuracy83.23 | 12 | 4d ago | |
| Places 205 | Top-1 Accuracy14.9 | 8 | 3d ago | ||
| Taskonomy tiny (test) | Accuracy71 | 8 | 4d ago | ||
| P-HVU | CMAP25.8 | 8 | 4d ago | ||
| Dynamic Scene | P3D ResNet | Accuracy94.6 | 5 | 4d ago |
