NYUD
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Semantic Segmentation | NYUD v2 (test) | mIoU60.9 | 187 | |
| Semantic Segmentation | NYUD v2 | mIoU65.6 | 169 | |
| Semantic Segmentation | NYUDv2 40-class (test) | mIoU53.5 | 99 | |
| Edge Detection | NYUDv2 (test) | ODS Score78.4 | 93 | |
| Boundary Detection | NYUD v2 | ODS F-measure80.31 | 48 | |
| Surface Normal Estimation | NYUd | mErr17.08 | 38 | |
| Scene Parsing | NYUDv2 (test) | mIoU60.8 | 35 | |
| Multi-task Learning | NYUD v2 | mIoU (Semantic Segmentation)60.22 | 33 | |
| Edge Detection | NYUD v2 | ODS83.18 | 33 | |
| Depth Estimation | NYUd | RMSE0.294 | 25 | |
| Object Detection | NYUD v2 (test) | Mean AP (b)72.3 | 24 | |
| Surface Normals estimation | NYUD v2 | Mean Error16.25 | 19 | |
| Surface Normal Estimation | NYUD clean and adverse conditions v2 v1 (unseen) | RMSE18.17 | 18 | |
| Edge Detection | NYUD Standard Evaluation - SEval v2 (val) | ODS79.4 | 17 | |
| Semantic Segmentation | NYUD | mIoU63.82 | 17 | |
| Object Detection | NYUD IS v2 | AP (Detection)43.7 | 16 | |
| Instance Segmentation | NYUD IS v2 | APseg35.8 | 16 | |
| Edge Detection | NYUD v2 (test) | odsF76.61 | 16 | |
| Video Depth Estimation | NYUDV2 (Eigen split) | OPW Score0.645 | 15 | |
| Boundary Detection | NYUD2 | ODS Fmax78.43 | 15 | |
| Edge Detection | NYUDv2 46 (test) | ODS79.1 | 14 | |
| Semantic Segmentation | NYUD v2 (val) | mIoU61.54 | 14 | |
| Semantic Segmentation | NYUD v2 13-class (test) | Mean Accuracy76 | 14 | |
| Multi-task Dense Prediction | NYUD v2 (test) | Depth (RMSE)0.657 | 13 | |
| Edge Detection | NYUD Crispness-emphasized evaluation - CEval v2 (val) | ODS Score77.5 | 13 |
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