NYU
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Depth Estimation | NYU v2 (test) | Threshold Accuracy (delta < 1.25)98.9 | 435 | |
| Monocular Depth Estimation | NYU v2 (test) | Abs Rel0.036 | 320 | |
| Semantic Segmentation | NYU v2 (test) | mIoU59.13 | 282 | |
| Surface Normal Estimation | NYU v2 (test) | Mean Angle Distance (MAD)8.6 | 224 | |
| Depth Super-Resolution | NYU v2 (test) | RMSE1.12 | 190 | |
| Monocular Depth Estimation | NYU v2 | Delta 1 Acc99.5 | 174 | |
| Depth Estimation | NYU v2 | RMSE0.245 | 167 | |
| Surface Normal Prediction | NYU v2 | Mean Error13.34 | 123 | |
| 3D Hand Pose Estimation | NYU (test) | Mean Error (mm)7.06 | 100 | |
| Membership Inference Attack | NYU v2 | AUC98.58 | 90 | |
| Semantic Scene Completion | NYU v2 (test) | Ceiling Error0 | 81 | |
| Joint Depth Super-Resolution and Denoising | NYU v2 (test) | RMSE5.14 | 78 | |
| Semantic Segmentation | NYU v2 (val) | mIoU75.87 | 75 | |
| Semantic Segmentation | NYU V2 | mIoU63.6 | 74 | |
| Surface Normal Estimation | NYU v2 | Mean Angular Error-22.1 | 65 | |
| Depth Estimation | NYU v2 (val) | RMSE0.201 | 65 | |
| Affine-invariant depth estimation | NYU v2 | AbsRel0.042 | 59 | |
| Scene Completion | NYU dataset (test) | mIoU75 | 50 | |
| Scene Completion | NYU v2 (test) | mIoU78.2 | 48 | |
| Semantic Scene Completion | NYU (test) | Ceiling Error0 | 46 | |
| Depth Completion | NYU v2 | RMSE0.085 | 44 | |
| Depth Super-Resolution | NYU v2 | RMSE0.0959 | 41 | |
| Depth Completion | NYU v2 (val) | RMSE0.09 | 41 | |
| Semantic Segmentation | NYU v2 (Retained set) | mIoU94 | 37 | |
| Depth Super-Resolution / Completion | NYU v2 (test) | AbsRel1.53 | 36 |
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