Semantic Segmentation on SYNTHIA (val)
86.7mIoUAdapNet++
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AdapNet++input resolution=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 86.7 | 97.77 | 96.98 | 96.6 | 95.7 | 79.87 | 89.63 | 74.94 | 94.22 | 71.99 | 83.64 | 72.31 | |
| AdapNetinput resolution=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 82.83 | 96.95 | 95.88 | 95.6 | 94.46 | 76.3 | 86.59 | 67.14 | 92.2 | 58.85 | 80.18 | 66.89 | |
| DeepLab v3input resolution=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 77.38 | 95.3 | 92.75 | 93.58 | 91.56 | 73.37 | 80.71 | 55.83 | 88.09 | 44.17 | 75.65 | 60.15 | |
| FastNetinput resolution=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 72.28 | 92.21 | 92.41 | 91.85 | 89.89 | 56.64 | 78.59 | 51.17 | 84.75 | 32.03 | 69.87 | 55.65 | |
| DeepLab v2input resolution=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 71.61 | 94.07 | 93.34 | 88.07 | 88.93 | 55.57 | 80.22 | 45.97 | 85.87 | 38.73 | 64.4 | 52.54 | |
| ParseNetinput resolution=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 71.02 | 93.8 | 93.09 | 91.05 | 88.98 | 53.22 | 79.48 | 46.15 | 85.37 | 36 | 63.3 | 50.82 | |
| DeconvNetinput resolution=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 70.54 | 95.88 | 93.83 | 92.85 | 90.79 | 66.4 | 81.04 | 48.23 | 84.65 | 0 | 69.46 | 52.79 | |
| Ours (ISW)Backbone=ResNet-50, Output Stride=16, Training Set=GTAV + SYNTHIA2021.03 | 68.77 | — | — | — | — | — | — | — | — | — | — | — | |
| BaselineBackbone=ResNet-50, Output Stride=16, Training Set=GTAV + SYNTHIA2021.03 | 67.99 | — | — | — | — | — | — | — | — | — | — | — | |
| FCN-8sinput resolution=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 67.11 | 92.36 | 91.92 | 88.94 | 86.46 | 48.22 | 77.41 | 36.02 | 82.63 | 30.37 | 57.1 | 46.84 | |
| IBN-NetBackbone=ResNet-50, Output Stride=16, Training Set=GTAV + SYNTHIA2021.03 | 66.9 | — | — | — | — | — | — | — | — | — | — | — | |
| SegNetinput resolution=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 58.98 | 91.9 | 87.19 | 83.72 | 80.94 | 50.02 | 71.63 | 26.12 | 71.31 | 1.01 | 52.34 | 32.64 | |
| IterNormBackbone=ResNet-50, Output Stride=16, Training Dataset=Cityscapes2021.03 | 45.73 | — | — | — | — | — | — | — | — | — | — | — | |
| Ours (IRW)Backbone=ResNet-50, Output Stride=16, Training Dataset=Cityscapes2021.03 | 45.64 | — | — | — | — | — | — | — | — | — | — | — | |
| Ours (IW)Backbone=ResNet-50, Output Stride=16, Training Dataset=Cityscapes2021.03 | 45.21 | — | — | — | — | — | — | — | — | — | — | — | |
| IBN-NetBackbone=ResNet-50, Output Stride=16, Training Dataset=Cityscapes2021.03 | 45.06 | — | — | — | — | — | — | — | — | — | — | — | |
| Ours (ISW)Backbone=ResNet-50, Output Stride=16, Training Dataset=Cityscapes2021.03 | 45 | — | — | — | — | — | — | — | — | — | — | — | |
| SWBackbone=ResNet-50, Output Stride=16, Training Dataset=Cityscapes2021.03 | 44.87 | — | — | — | — | — | — | — | — | — | — | — | |
| BaselineBackbone=ResNet-50, Output Stride=16, Training Dataset=Cityscapes2021.03 | 42.55 | — | — | — | — | — | — | — | — | — | — | — | |
| BlindNetBackbone=ShuffleNetV2, External Dataset=false, External Module=true, Source Domain=Cityscapes2024.03 | 41.1 | — | — | — | — | — | — | — | — | — | — | — | |
| TLDREncoder=ResNet-1012023.03 | 39.35 | — | — | — | — | — | — | — | — | — | — | — | |
| DiGA (Our Distillation)Backbone=ResNet-101, Source Dataset=GTA52023.04 | 37.17 | — | — | — | — | — | — | — | — | — | — | — | |
| FAMixBackbone=RN101, Source Dataset=GTAV2023.11 | 36.72 | — | — | — | — | — | — | — | — | — | — | — | |
| TLDREncoder=ResNet-502023.03 | 36.3 | — | — | — | — | — | — | — | — | — | — | — | |
| FAMixBackbone=RN50, Source Dataset=GTAV2023.11 | 34.23 | — | — | — | — | — | — | — | — | — | — | — | |
| TLDRBackbone=RN101, Source Dataset=GTAV, Extra-data usage=true2023.11 | 33.14 | — | — | — | — | — | — | — | — | — | — | — | |
| WildNetEncoder=ResNet-1012023.03 | 32.51 | — | — | — | — | — | — | — | — | — | — | — | |
| WildNetBackbone=RN101, Source Dataset=GTAV, Extra-data usage=true2023.11 | 32.51 | — | — | — | — | — | — | — | — | — | — | — | |
| SAN-SAWBackbone=ResNet-101, Source Dataset=GTA52023.04 | 31.84 | — | — | — | — | — | — | — | — | — | — | — | |
| SAN-SAWEncoder=ResNet-1012023.03 | 31.84 | — | — | — | — | — | — | — | — | — | — | — | |
| SAN & SAWBackbone=RN101, Source Dataset=GTAV2023.11 | 31.84 | — | — | — | — | — | — | — | — | — | — | — | |
| SHADEBackbone=RN101, Source Dataset=GTAV, Full-data training=true2023.11 | 31.58 | — | — | — | — | — | — | — | — | — | — | — | |
| BlindNetBackbone=ResNet-50, External Dataset=false, External Module=true, Source Domain=GTAV2024.03 | 31.39 | — | — | — | — | — | — | — | — | — | — | — | |
| WildNetEncoder=ResNet-502023.03 | 31.34 | — | — | — | — | — | — | — | — | — | — | — | |
| WildNetBackbone=RN50, Source Dataset=GTAV, Extra-data usage=true2023.11 | 31.34 | — | — | — | — | — | — | — | — | — | — | — | |
| SAN-SAWEncoder=ResNet-502023.03 | 30.79 | — | — | — | — | — | — | — | — | — | — | — | |
| SAN & SAWBackbone=RN50, Source Dataset=GTAV2023.11 | 30.79 | — | — | — | — | — | — | — | — | — | — | — | |
| TLDRBackbone=RN50, Source Dataset=GTAV, Extra-data usage=true2023.11 | 30.57 | — | — | — | — | — | — | — | — | — | — | — | |
| DRPCEncoder=ResNet-1012023.03 | 29.67 | — | — | — | — | — | — | — | — | — | — | — | |
| ISWBackbone=ResNet-101, Source Dataset=GTA52023.04 | 29.58 | — | — | — | — | — | — | — | — | — | — | — | |
| GTREncoder=ResNet-1012023.03 | 29.32 | — | — | — | — | — | — | — | — | — | — | — | |
| SHADEBackbone=RN50, Source Dataset=GTAV2023.11 | 28.41 | — | — | — | — | — | — | — | — | — | — | — | |
| SiamDoGeEncoder=ResNet-502023.03 | 28.34 | — | — | — | — | — | — | — | — | — | — | — | |
| SiamDoGeBackbone=RN50, Source Dataset=GTAV2023.11 | 28.34 | — | — | — | — | — | — | — | — | — | — | — | |
| Ours (ISW)Backbone=ResNet-50, Output stride=16, Training Dataset=GTAV2021.03 | 28.3 | — | — | — | — | — | — | — | — | — | — | — | |
| RobustNet [4]Backbone=ResNet-50, Architecture=DeepLabV3+, Output Stride=16, Training Dataset=GTAV2023.04 | 28.3 | — | — | — | — | — | — | — | — | — | — | — | |
| RobustNetEncoder=ResNet-502023.03 | 28.3 | — | — | — | — | — | — | — | — | — | — | — | |
| RobustNetBackbone=RN50, Source Dataset=GTAV2023.11 | 28.3 | — | — | — | — | — | — | — | — | — | — | — | |
| IBN-NetBackbone=ResNet-50, Output stride=16, Training Dataset=GTAV2021.03 | 27.9 | — | — | — | — | — | — | — | — | — | — | — | |
| IBN-Net [49]Backbone=ResNet-50, Architecture=DeepLabV3+, Output Stride=16, Training Dataset=GTAV2023.04 | 27.9 | — | — | — | — | — | — | — | — | — | — | — | |
| NPBackbone=RN50, Source Dataset=GTAV2023.11 | 27.65 | — | — | — | — | — | — | — | — | — | — | — | |
| SWBackbone=ResNet-50, Output stride=16, Training Dataset=GTAV2021.03 | 27.61 | — | — | — | — | — | — | — | — | — | — | — | |
| SW [50]Backbone=ResNet-50, Architecture=DeepLabV3+, Output Stride=16, Training Dataset=GTAV2023.04 | 27.61 | — | — | — | — | — | — | — | — | — | — | — | |
| Ours (IW)Backbone=ResNet-50, Output stride=16, Training Dataset=GTAV2021.03 | 27.57 | — | — | — | — | — | — | — | — | — | — | — | |
| Ours (IRW)Backbone=ResNet-50, Output stride=16, Training Dataset=GTAV2021.03 | 27.29 | — | — | — | — | — | — | — | — | — | — | — | |
| Pin the memoryBackbone=RN50, Source Dataset=GTAV2023.11 | 27.08 | — | — | — | — | — | — | — | — | — | — | — | |
| IterNormBackbone=ResNet-50, Output stride=16, Training Dataset=GTAV2021.03 | 27.07 | — | — | — | — | — | — | — | — | — | — | — | |
| IterNorm [26]Backbone=ResNet-50, Architecture=DeepLabV3+, Output Stride=16, Training Dataset=GTAV2023.04 | 27.07 | — | — | — | — | — | — | — | — | — | — | — | |
| RobustNet* [4]Backbone=ResNet-50, Architecture=DeepLabV3+, Output Stride=16, Training Dataset=GTAV, Reproduced=true2023.04 | 26.87 | — | — | — | — | — | — | — | — | — | — | — | |
| Ours-DBackbone=ResNet-50, Architecture=DeepLabV3+, Output Stride=16, Training Dataset=GTAV2023.04 | 26.82 | — | — | — | — | — | — | — | — | — | — | — | |
| Baseline*Backbone=ResNet-50, Architecture=DeepLabV3+, Output Stride=16, Training Dataset=GTAV, Reproduced=true2023.04 | 26.71 | — | — | — | — | — | — | — | — | — | — | — | |
| Ours-ABackbone=ResNet-50, Architecture=DeepLabV3+, Output Stride=16, Training Dataset=GTAV2023.04 | 26.3 | — | — | — | — | — | — | — | — | — | — | — | |
| BaselineBackbone=ResNet-50, Output stride=16, Training Dataset=GTAV2021.03 | 26.23 | — | — | — | — | — | — | — | — | — | — | — | |
| Baseline [4]Backbone=ResNet-50, Architecture=DeepLabV3+, Output Stride=16, Training Dataset=GTAV2023.04 | 26.23 | — | — | — | — | — | — | — | — | — | — | — | |
| Ours-BBackbone=ResNet-50, Architecture=DeepLabV3+, Output Stride=16, Training Dataset=GTAV2023.04 | 26.18 | — | — | — | — | — | — | — | — | — | — | — | |
| MRFPBackbone=MobileNetv2, Framework=DeepLabV3+, Training Source=GTAV2023.11 | 25.62 | — | — | — | — | — | — | — | — | — | — | — | |
| Ours-CBackbone=ResNet-50, Architecture=DeepLabV3+, Output Stride=16, Training Dataset=GTAV2023.04 | 25.52 | — | — | — | — | — | — | — | — | — | — | — | |
| IBN-NetBackbone=MobileNetv2, Framework=DeepLabV3+, Training Source=GTAV2023.11 | 24.98 | — | — | — | — | — | — | — | — | — | — | — | |
| RandConv* [70]Backbone=ResNet-50, Architecture=DeepLabV3+, Output Stride=16, Training Dataset=GTAV, Reproduced=true2023.04 | 24.45 | — | — | — | — | — | — | — | — | — | — | — | |
| ISWBackbone=MobileNetv2, Framework=DeepLabV3+, Training Source=GTAV2023.11 | 24.43 | — | — | — | — | — | — | — | — | — | — | — | |
| BaselineBackbone=MobileNetv2, Framework=DeepLabV3+, Training Source=GTAV2023.11 | 22.72 | — | — | — | — | — | — | — | — | — | — | — |