Semantic Segmentation on Cityscapes fine 1/4 (val)
75.15mIoUPC2Seg
Evaluation Results
| Method | Links | |
|---|---|---|
| PC2SegBackbone=ResNet-101, Base Architecture=DeepLab-v3+2021.08 | 75.15 | |
| PC2SegBackbone=ResNet-50, Base Architecture=DeepLab-v3+2021.08 | 73.8 | |
| Sup. baselineBackbone=ResNet-101, Base Architecture=DeepLab-v3+2021.08 | 73.31 | |
| Sup. baselineBackbone=ResNet-50, Base Architecture=DeepLab-v3+2021.08 | 72.86 | |
| PseudoSegBackbone=ResNet-101, Base Architecture=DeepLab-v3+2021.08 | 72.36 | |
| CutMixBackbone=ResNet-101, Base Architecture=DeepLab-v3+2021.08 | 68.33 | |
| ClassMixBackbone=ResNet-101, Base Architecture=DeepLab-v22021.08 | 63.63 | |
| AdvSemSegBackbone=ResNet-101, Base Architecture=DeepLab-v22021.08 | 62.3 | |
| sGANBackbone=ResNet-101, Base Architecture=DeepLab-v22021.08 | 61.9 |