Semantic Segmentation on SYNTHIA
43.8mIoUCMFormer
Evaluation Results
| Method | Links | |
|---|---|---|
| CMFormerSource Dataset=GTA52023.07 | 43.8 | |
| CMFormerBackbone=Swin-L, Trained on Cityscapes=true2023.07 | 43 | |
| Mask2FormerBackbone=Swin-L, Trained on Cityscapes=true2023.07 | 42.4 | |
| HGFormerBackbone=Swin-L, Trained on Cityscapes=true2023.07 | 41.3 | |
| CMFormerBackbone=Swin-B, Trained on Cityscapes=true2023.07 | 40.43 | |
| Mask2FormerBackbone=Swin-B, Trained on Cityscapes=true2023.07 | 38.19 | |
| Mask2FormerBackbone=Swin-T, Trained on Cityscapes=true2023.07 | 34 | |
| HGFormerBackbone=Swin-T, Trained on Cityscapes=true2023.07 | 33.6 | |
| WildNetSource Dataset=GTA5, Backbone=ResNet-502023.07 | 31.34 | |
| SAWSource Dataset=GTA5, Backbone=ResNet-502023.07 | 30.79 | |
| SAWBackbone=ResNet50, Trained on Cityscapes=true2023.07 | 28.32 | |
| ISWSource Dataset=GTA5, Backbone=ResNet-502023.07 | 28.3 | |
| GTRSource Dataset=GTA5, Backbone=ResNet-502023.07 | 28.17 | |
| DRPCSource Dataset=GTA5, Backbone=ResNet-502023.07 | 28.06 | |
| WildNetBackbone=ResNet50, Trained on Cityscapes=true2023.07 | 27.95 | |
| IBNSource Dataset=GTA5, Backbone=ResNet-502023.07 | 27.9 | |
| SHADEBackbone=ResNet50, Trained on Cityscapes=true2023.07 | 27.62 | |
| IWSource Dataset=GTA5, Backbone=ResNet-502023.07 | 27.61 | |
| IternormSource Dataset=GTA5, Backbone=ResNet-502023.07 | 27.07 | |
| DRPCBackbone=ResNet50, Trained on Cityscapes=true2023.07 | 26.58 | |
| DIRLBackbone=ResNet50, Trained on Cityscapes=true2023.07 | 26.5 | |
| GTRBackbone=ResNet50, Trained on Cityscapes=true2023.07 | 26.47 | |
| ISWBackbone=ResNet50, Trained on Cityscapes=true2023.07 | 26.2 | |
| IBNBackbone=ResNet50, Trained on Cityscapes=true2023.07 | 26.14 | |
| IWBackbone=ResNet50, Trained on Cityscapes=true2023.07 | 26.1 | |
| IternormBackbone=ResNet50, Trained on Cityscapes=true2023.07 | 25.98 |