Semantic Segmentation on Cityscapes fine 1/30 (val)
62.89mIoUPC2Seg
Evaluation Results
| Method | Links | |
|---|---|---|
| PC2SegBackbone=ResNet-101, Base Architecture=DeepLab-v3+2021.08 | 62.89 | |
| PseudoSegBackbone=ResNet-101, Base Architecture=DeepLab-v3+2021.08 | 60.96 | |
| PC2SegBackbone=ResNet-50, Base Architecture=DeepLab-v3+2021.08 | 60.37 | |
| Sup. baselineBackbone=ResNet-101, Base Architecture=DeepLab-v3+2021.08 | 56.09 | |
| CutMixBackbone=ResNet-101, Base Architecture=DeepLab-v3+2021.08 | 55.71 | |
| Sup. baselineBackbone=ResNet-50, Base Architecture=DeepLab-v3+2021.08 | 55.25 | |
| DMTBackbone=ResNet-101, Base Architecture=DeepLab-v22021.08 | 54.8 |