Semantic Segmentation on Cityscapes 1/8 subset (val)
72.29mIoUPC2Seg
Evaluation Results
| Method | Links | |
|---|---|---|
| PC2SegBackbone=ResNet-101, Base Architecture=DeepLab-v3+2021.08 | 72.29 | |
| PC2SegBackbone=ResNet-50, Base Architecture=DeepLab-v3+2021.08 | 72.11 | |
| PseudoSegBackbone=ResNet-101, Base Architecture=DeepLab-v3+2021.08 | 69.81 | |
| Sup. baselineBackbone=ResNet-101, Base Architecture=DeepLab-v3+2021.08 | 68.72 | |
| Sup. baselineBackbone=ResNet-50, Base Architecture=DeepLab-v3+2021.08 | 68.06 | |
| CutMixBackbone=ResNet-101, Base Architecture=DeepLab-v3+2021.08 | 65.82 | |
| DMTBackbone=ResNet-101, Base Architecture=DeepLab-v22021.08 | 63.03 | |
| ClassMix + RIST# of labeled images=371, Subset=1/82021.03 | 62.57 | |
| S4GAN + RIST# of labeled images=371, Subset=1/82021.03 | 62.5 | |
| ClassMix + GIST# of labeled images=371, Subset=1/82021.03 | 62.44 | |
| ClassMix# of labeled images=371, Subset=1/82021.03 | 61.56 | |
| Supervised + RIST# of labeled images=371, Subset=1/82021.03 | 61.38 | |
| ClassMixBackbone=ResNet-101, Base Architecture=DeepLab-v22021.08 | 61.35 | |
| S4GAN + GIST# of labeled images=371, Subset=1/82021.03 | 61.27 | |
| S4GAN# of labeled images=371, Subset=1/82021.03 | 60.95 | |
| Supervised + GIST# of labeled images=371, Subset=1/82021.03 | 60.94 | |
| Supervised# of labeled images=371, Subset=1/82021.03 | 59.9 | |
| sGANBackbone=ResNet-101, Base Architecture=DeepLab-v22021.08 | 59.3 | |
| AdvSemSegBackbone=ResNet-101, Base Architecture=DeepLab-v22021.08 | 58.8 |