Skin
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | Skin8 | Last Step Accuracy67.73 | 18 | |
| Outlier Detection | skin (historical) | AUROC83.12 | 17 | |
| Medical Image Classification | Skin | Top-1 Accuracy51.91 | 16 | |
| Taxonomic classification correction | Skin N=173,927 | F1 Score92.01 | 15 | |
| Outlier Detection | skin (Group II) | AUROC83.12 | 14 | |
| Continual Clustering | Skin | AI ARI84.6 | 13 | |
| Pairwise-constrained clustering | Skin | SSE895,000,000 | 12 | |
| Pathology Image Classification | Skin-C corrupted (test) | Accuracy50.65 | 12 | |
| Classification | skin UCI (test) | Accuracy99.7 | 11 | |
| Stationary Clustering | Skin | ARI66.1 | 10 | |
| Out-of-Distribution Detection | Skin40 (test) | Accuracy76.75 | 9 | |
| Interactive Segmentation | Skin | mIoU69.3 | 8 | |
| Image regression | Skin | TLL-2,345.04 | 7 | |
| Image Regression | Skin | TIL727.95 | 7 | |
| Image Regression | Skin shifted (test) | RMSE446.29 | 7 | |
| Image Regression | Skin | TC0.8625 | 7 | |
| Classification | Skin | Accuracy99.96 | 7 | |
| Clustering | Skin | ARI0.635 | 7 | |
| Spatially resolved gene expression prediction | Skin | MSE0.208 | 7 | |
| Medical Image Classification | Skin II Harmonic Mean | Accuracy (ACC)33.1 | 6 | |
| Medical Image Classification | Skin II Low-End Target | Accuracy31.6 | 6 | |
| Medical Image Classification | Skin II High-End Source | Accuracy40.7 | 6 | |
| Medical Image Classification | Skin I Harmonic Mean | Accuracy (ACC)50.9 | 6 | |
| Medical Image Classification | Skin I Low-End Target | Accuracy46.4 | 6 | |
| Medical Image Classification | Skin High-End Source I | Accuracy58.3 | 6 |
Showing 25 of 31 rows