| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| PASCAL Context | TSσBN | mIoU (Semantic Segmentation)77.12 | 47 | 3d ago | |
| Cityscapes (test) | Nash-MTL | MR1.75 | 43 | 3d ago | |
| NYU v2 (test) | ForkMerge | Delta m%403 | 31 | 3d ago | |
| Ridership | Total Loss16.79 | 20 | 3d ago | ||
| Chemical | Total Loss4.52 | 20 | 3d ago | ||
| ETTm1 | Total Loss3.82 | 20 | 3d ago | ||
| CelebA | Total Loss48.38 | 20 | 3d ago | ||
| PASCAL-Context and NYUD-v2 clean and adverse conditions v1 (unseen) | RobuMTL+ | Delta MADV (Adverse)0.028 | 19 | 3d ago | |
| NYU v2 | MTAN | mIoU54.64 | 19 | 2d ago | |
| LIBERO | NORA-Long | Object Score99.2 | 18 | 3d ago | |
| NYU LibMTL v2 (test) | HPS + GLS | Segmentation Score54.59 | 14 | 3d ago | |
| UTKFace (test) | BayesAgg-MTL | Age MAE0.135 | 14 | 3d ago | |
| VKITTI 2 (test) | Ours | mIoU97.53 | 10 | 3d ago | |
| Synthia (test) | Ours | mIoU82.99 | 10 | 3d ago | |
| NYU v2 | Inference Time (ms)32.43 | 9 | 3d ago | ||
| CityScapes | Inference Time (ms)29.52 | 9 | 3d ago | ||
| Tiny-Taskonomy (test) | DEN | Delta t1 (Semantic Segmentation)-28.2 | 9 | 3d ago | |
| NYUD v2 | Am0 | 7 | 3d ago | ||
| Taskonomy tiny (test) | Object Classification89.75 | 7 | 3d ago | ||
| PASCAL-Context 5 tasks | HV Score81.56 | 7 | 3d ago | ||
| CIFAR-100 (test) | DYMU | HV0.01 | 7 | 3d ago | |
| Taskonomy Tiny | ΔT13.7 | 7 | 2d ago | ||
| Office-31 (test) | STL | Accuracy (Domain A)89.06 | 6 | 3d ago | |
| NYUD v2 | ATRC | SemSeg Acc46.33 | 5 | 3d ago | |
| Emotion | Epochs200 | 4 | 3d ago |
