MSRA
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Named Entity Recognition | MSRA (test) | F1 Score96.24 | 63 | |
| 3D hand pose estimation | MSRA | Mean Error (mm)7.13 | 32 | |
| Named Entity Recognition | MSRA | F1 Score96.01 | 29 | |
| 3D Hand Pose Estimation | MSRA (test) | 3D Error (mm)5.186 | 23 | |
| Clustering | MSRA25 | ARI56.3 | 20 | |
| Chinese Word Segmentation | MSRA (test) | F1 Score98.67 | 17 | |
| Named Entity Recognition | MSRA standard (test) | F1 Score95 | 16 | |
| Unsupervised Feature Selection | MSRA | NMI86.48 | 14 | |
| Clustering | MSRA | Accuracy92.7 | 14 | |
| Hand Pose Estimation | MSRA (leave-one-subject-out) | Mean Error (mm)7.2 | 12 | |
| Saliency Detection | MSRA5K | Max F-measure90.9 | 9 | |
| Saliency Detection | MSRA | F-measure86.66 | 8 | |
| Saliency Detection | MSRA | AUC95.83 | 8 | |
| Nonstationary backward transfer | MSRA25 | BWT-ARI0.055 | 7 | |
| Incremental Clustering | MSRA25 | Average Incremental ARI56 | 7 | |
| Classification | MSRA | Accuracy93.71 | 7 | |
| Clustering | MSRA (test) | ACC71.43 | 7 | |
| Named Entity Recognition | MSRA | Inference Speed (sentences/s)5.95 | 7 | |
| Segmentation | MSRA10k Degrade (test) | IoU86.09 | 5 | |
| Named Entity Recognition | Chinese MSRA | F1 Score93.48 | 5 | |
| Hand Action Recognition | MSRA | Video Accuracy98.56 | 3 |
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