Scene Parsing on NYUD v2
0.502Mean IoUPAD-Net-ResNet50
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PAD-Net-ResNet50Input Data Type=RGB2018.05 | 0.502 | 0.623 | 0.752 | |
| RefineNet-Res152Input Data Type=RGB2018.05 | 0.465 | 0.589 | 0.736 | |
| Kong et al.Input Data Type=RGB2018.05 | 0.445 | — | 0.721 | |
| ContextInput Data Type=RGB2018.05 | 0.406 | 0.536 | 0.7 | |
| Arsalan et al.Input Data Type=RGB2018.05 | 0.392 | 0.523 | 0.686 | |
| Eigen and FergusInput Data Type=RGB2018.05 | 0.341 | 0.451 | 0.656 | |
| FCN-HHAInput Data Type=RGB + Depth2018.05 | 0.34 | 0.461 | 0.654 | |
| Deng et al.Input Data Type=RGB + Depth2018.05 | 0.315 | — | 0.638 | |
| FCNInput Data Type=RGB2018.05 | 0.292 | 0.422 | 0.6 | |
| Gupta et al.Input Data Type=RGB + Depth2018.05 | 0.286 | — | 0.603 |