| Benchmark | Model | Rank | Results |
|---|---|---|---|
| surface-normals-estimation-on-nyu-depth-v2 | PolyMaX(ConvNeXt-L) | #2 | % < 11.25: 65.66% < 22.5: 82.28% < 30: 87.83… |
| semantic-segmentation-on-nyu-depth-v2 | PolyMaX(ConvNeXt-L) | #9 | Mean IoU: 58.08% |
| monocular-depth-estimation-on-nyu-depth-v2 | PolyMaX(ConvNeXt-L) | #21 | absolute relative error: 0.067RMSE: 0.25log 10: 0.029… |