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ResearchFormerly WizWand

Semantic Segmentation on SYNTHIA

43.8mIoUCMFormer
25.267230.078634.8939.7014Jul 1, 2023
Updated 8mo ago

Evaluation results

MethodLinks
CMFormerSource Dataset=GTA52023.0743.8
CMFormerBackbone=Swin-L, Trained on Cityscapes=true2023.0743
Mask2FormerBackbone=Swin-L, Trained on Cityscapes=true2023.0742.4
HGFormerBackbone=Swin-L, Trained on Cityscapes=true2023.0741.3
CMFormerBackbone=Swin-B, Trained on Cityscapes=true2023.0740.43
Mask2FormerBackbone=Swin-B, Trained on Cityscapes=true2023.0738.19
Mask2FormerBackbone=Swin-T, Trained on Cityscapes=true2023.0734
HGFormerBackbone=Swin-T, Trained on Cityscapes=true2023.0733.6
WildNetSource Dataset=GTA5, Backbone=ResNet-502023.0731.34
SAWSource Dataset=GTA5, Backbone=ResNet-502023.0730.79
SAWBackbone=ResNet50, Trained on Cityscapes=true2023.0728.32
ISWSource Dataset=GTA5, Backbone=ResNet-502023.0728.3
GTRSource Dataset=GTA5, Backbone=ResNet-502023.0728.17
DRPCSource Dataset=GTA5, Backbone=ResNet-502023.0728.06
WildNetBackbone=ResNet50, Trained on Cityscapes=true2023.0727.95
IBNSource Dataset=GTA5, Backbone=ResNet-502023.0727.9
SHADEBackbone=ResNet50, Trained on Cityscapes=true2023.0727.62
IWSource Dataset=GTA5, Backbone=ResNet-502023.0727.61
IternormSource Dataset=GTA5, Backbone=ResNet-502023.0727.07
DRPCBackbone=ResNet50, Trained on Cityscapes=true2023.0726.58
DIRLBackbone=ResNet50, Trained on Cityscapes=true2023.0726.5
GTRBackbone=ResNet50, Trained on Cityscapes=true2023.0726.47
ISWBackbone=ResNet50, Trained on Cityscapes=true2023.0726.2
IBNBackbone=ResNet50, Trained on Cityscapes=true2023.0726.14
IWBackbone=ResNet50, Trained on Cityscapes=true2023.0726.1
IternormBackbone=ResNet50, Trained on Cityscapes=true2023.0725.98