Semantic Segmentation on Mapillary Vistas (val)
68.32mIoUHRDA
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| HRDABackbone=MiT-B5 [66], Source Domain=Cityscapes, DGInStyle integration=false2023.12 | 68.32 | — | — | — | |
| HRDABackbone=MiT-B5 [66], Source Domain=Cityscapes, DGInStyle integration=true2023.12 | 67.99 | — | — | — | |
| DIDEXEncoder=Transformer, No real data usage=true, UDA component=MIC [17]2023.12 | 63 | — | — | — | |
| DAFormerBackbone=MiT-B5 [66], Source Domain=Cityscapes, DGInStyle integration=true2023.12 | 62.67 | — | — | — | |
| DAFormerBackbone=MiT-B5 [66], Source Domain=Cityscapes, DGInStyle integration=false2023.12 | 61.67 | — | — | — | |
| HRDAEncoder=Transformer, No real data usage=true2023.12 | 61.2 | — | — | — | |
| Hierarchical Multi-Scale AttentionEnsemble=false, Trunk=HRNet-OCR, Crop size=1856 x 10242020.05 | 61.1 | — | — | — | |
| CMFormerEncoder=Transformer, No real data usage=true2023.12 | 60.1 | — | — | — | |
| Color-AugBackbone=MiT-B5 [66], Source Domain=Cityscapes, DGInStyle integration=false2023.12 | 60.06 | — | — | — | |
| Color-AugBackbone=MiT-B5 [66], Source Domain=Cityscapes, DGInStyle integration=true2023.12 | 59.95 | — | — | — | |
| SwaftNetadaptation=panoramic2019.09 | 59.4 | — | — | — | |
| SwaftNet2019.09 | 59.4 | — | — | — | |
| Panoptic DeepLabEnsemble=true2020.05 | 58.7 | — | — | — | |
| Axial-DeepLab-LMulti-scale=true, Params=44.9M, M-Adds=39.35T2020.03 | 58.4 | — | — | — | |
| Panoptic-DeepLab (Auto-XL++)Multi-scale=true, Params=72.2M, M-Adds=60.55T2020.03 | 57.6 | — | — | — | |
| Axial-DeepLab-LMulti-scale=false, Params=44.9M, M-Adds=1.55T2020.03 | 57.6 | — | — | — | |
| Panoptic-DeepLabFlip=true, MS=true2019.11 | 56.8 | — | — | — | |
| Panoptic DeepLabEnsemble=false2020.05 | 56.8 | — | — | — | |
| Panoptic-DeepLab (Xception-71)Multi-scale=true, Params=46.7M, M-Adds=31.35T2020.03 | 56.8 | — | — | — | |
| Panoptic-DeepLabFlip=true, MS=false2019.11 | 55.8 | — | — | — | |
| Panoptic-DeepLabFlip=false, MS=false2019.11 | 55.4 | — | — | — | |
| Panoptic-DeepLab (Xception-71)Multi-scale=false, Params=46.7M, M-Adds=1.24T2020.03 | 55.4 | — | — | — | |
| Panoptic-DeepLab (HRNet-W48)Multi-scale=false, Params=71.7M, M-Adds=58.47T2020.03 | 55.4 | — | — | — | |
| DeeperLabFlip=false, MS=false2019.11 | 55.3 | — | — | — | |
| DeeperLabEnsemble=false2020.05 | 55.3 | — | — | — | |
| DeeperLabMulti-scale=false2020.03 | 55.3 | — | — | — | |
| ERF-APSPNet2019.09 | 54.8 | — | — | — | |
| DAFormerEncoder=Transformer, No real data usage=true2023.12 | 54.7 | — | — | — | |
| INPLACE-ABNsync + CLASS-UNIFORM SAMPLINGBackbone=WideResNet-38, Crops per minibatch x crop size=12 x 776^2, Sampling strategy=Class-Uniform Sampling, Evaluation protocol=single scale test, no horizontal flipping2017.12 | 53.12 | — | — | — | |
| CGNet2019.09 | 52.8 | — | — | — | |
| ReVTEncoder=Transformer, No real data usage=true2023.12 | 52.8 | — | — | — | |
| ERFNetadaptation=panoramic2019.09 | 52.7 | — | — | — | |
| ERFNet2019.09 | 52.7 | — | — | — | |
| SwiftNetadaptation=panoramic2019.09 | 52.4 | — | — | — | |
| SwiftNet2019.09 | 52.4 | — | — | — | |
| ERF-PSPNetadaptation=panoramic2019.09 | 52.1 | — | — | — | |
| ERF-PSPNet2019.09 | 52.1 | — | — | — | |
| PSPNet + auxiliary loss + Hybrid dilated convolutions + Inverse frequency label reweighting + Cityscapes pretrainingBackbone=ResNet-101, Crops per minibatch x crop size=16 x 713^2, Auxiliary loss=true, Hybrid dilated convolutions=true, Inverse frequency label reweighting=true, Cityscapes pretraining=true, Evaluation protocol=single scale test, no horizontal flipping2017.12 | 51.59 | — | — | — | |
| PSPNet + auxiliary loss + Hybrid dilated convolutions + Inverse frequency label reweightingBackbone=ResNet-101, Crops per minibatch x crop size=16 x 713^2, Auxiliary loss=true, Hybrid dilated convolutions=true, Inverse frequency label reweighting=true, Evaluation protocol=single scale test, no horizontal flipping2017.12 | 51.5 | — | — | — | |
| DRSFVenue=-, Backbone=ResNet-101, Source Domain=GTA5, Use of additional real-world data=false2025.03 | 50.72 | — | — | — | |
| PSPNet182019.09 | 50.4 | — | — | — | |
| SeamlessFlip=true, MS=true2019.11 | 50.4 | — | — | — | |
| SeamlessEnsemble=false2020.05 | 50.4 | — | — | — | |
| SeamlessMulti-scale=false2020.03 | 50.4 | — | — | — | |
| PSPNet + auxiliary loss + Hybrid dilated convolutionsBackbone=ResNet-101, Crops per minibatch x crop size=16 x 713^2, Auxiliary loss=true, Hybrid dilated convolutions=true, Evaluation protocol=single scale test, no horizontal flipping2017.12 | 50.28 | — | — | — | |
| DGInStyleVenue=ECCV 24, Backbone=ResNet-101, Source Domain=GTA5, Use of additional real-world data=false2025.03 | 50.19 | — | — | — | |
| BaselineEncoder=Transformer, No real data usage=true2023.12 | 50.1 | — | — | — | |
| PSPNet + auxiliary lossBackbone=ResNet-101, Crops per minibatch x crop size=16 x 713^2, Auxiliary loss=true, Evaluation protocol=single scale test, no horizontal flipping2017.12 | 49.76 | — | — | — | |
| EDANet2019.09 | 49.6 | — | — | — | |
| BiSeNet2019.09 | 49.5 | — | — | — | |
| DIDEXEncoder=ResNet, No real data usage=true, UDA component=MIC [17]2023.12 | 49.2 | — | — | — | |
| SegNet2019.09 | 48.4 | — | — | — | |
| WEDGEEncoder=ResNet, No real data usage=false2023.12 | 48.1 | — | — | — | |
| WEDGE*Venue=ICRA 23, Backbone=ResNet-101, Source Domain=GTA5, Use of additional real-world data=true2025.03 | 48.06 | — | — | — | |
| LinkNet2019.09 | 47.7 | — | — | — | |
| WildNetEncoder=ResNet, No real data usage=false2023.12 | 47.1 | — | — | — | |
| WildNet*Venue=CVPR 22, Backbone=ResNet-101, Source Domain=GTA5, Use of additional real-world data=true2025.03 | 47.08 | — | — | — | |
| ENet2019.09 | 47 | — | — | — | |
| RICAEncoder=ResNet, No real data usage=true2023.12 | 46.3 | — | — | — | |
| SHADEEncoder=ResNet, No real data usage=true2023.12 | 45.5 | — | — | — | |
| SHADE*Venue=IJCV 24, Backbone=ResNet-101, Source Domain=GTA5, Use of additional real-world data=true2025.03 | 45.5 | — | — | — | |
| BaselineEncoder=ResNet, No real data usage=true2023.12 | 43.8 | — | — | — | |
| AdvStyleVenue=NeurIPS 22, Backbone=ResNet-101, Source Domain=GTA5, Use of additional real-world data=false2025.03 | 43.48 | — | — | — | |
| FSDREncoder=ResNet, No real data usage=false2023.12 | 43.4 | — | — | — | |
| FSDRVenue=CVPR 21, Backbone=ResNet-101, Source Domain=GTA5, Use of additional real-world data=false2025.03 | 43.4 | — | — | — | |
| HRDAVenue=TPAMI 23, Backbone=ResNet-101, Source Domain=GTA5, Use of additional real-world data=false2025.03 | 42.21 | — | — | — | |
| SwiftNet-EffL1Input size=1536x1152, GPU=Nvidia GTX 1080 Ti, Backbone=EfficientNet-Lite12020.11 | 41.7 | — | 20.7 | 21.5 | |
| SAN+SAWEncoder=ResNet, No real data usage=true2023.12 | 40.8 | — | — | — | |
| SAN-SAWVenue=CVPR 22, Backbone=ResNet-101, Source Domain=GTA5, Use of additional real-world data=false2025.03 | 40.77 | — | — | — | |
| SegBlocks-EffL1Input size=1536x1152, tau=0.4, GPU=Nvidia GTX 1080 Ti, Backbone=EfficientNet-Lite12020.11 | 40.5 | — | 33 | 13.7 | |
| SegBlocks-EffL1Input size=1536x1152, tau=0.2, GPU=Nvidia GTX 1080 Ti, Backbone=EfficientNet-Lite12020.11 | 39.8 | — | 40.1 | 11.5 | |
| GTREncoder=ResNet, No real data usage=false2023.12 | 39.1 | — | — | — | |
| GTR*Venue=TIP 21, Backbone=ResNet-101, Source Domain=GTA5, Use of additional real-world data=true2025.03 | 39.1 | — | — | — | |
| RobustNetEncoder=ResNet, No real data usage=true2023.12 | 38.1 | — | — | — | |
| DRPCEncoder=ResNet, No real data usage=false2023.12 | 38.1 | — | — | — | |
| IBN-NetVenue=ECCV 18, Backbone=ResNet-101, Source Domain=GTA5, Use of additional real-world data=false2025.03 | 36.81 | — | — | — | |
| IBN-NetEncoder=ResNet, No real data usage=true2023.12 | 36.8 | — | — | — | |
| ISWVenue=CVPR 21, Backbone=ResNet-101, Source Domain=GTA5, Use of additional real-world data=false2025.03 | 35.57 | — | — | — | |
| SWEncoder=ResNet, No real data usage=true2023.12 | 32.6 | — | — | — | |
| Complete Hierarchical Classification ApproachTrained on=Cityscapes + Vistas + GTSDB2018.03 | 31.9 | 38.9 | — | — | |
| AGLNetInput size=2048x1024, GPU=Nvidia GTX 1080 Ti2020.11 | 30.7 | — | 53 | 24.1 | |
| WFDCNetInput size=2048x1024, GPU=Nvidia GTX 2080 Ti2020.11 | 30.5 | — | 53.1 | 12.5 | |
| DABNetInput size=2048x1024, GPU=Nvidia GTX 2080 Ti2020.11 | 29.6 | — | 78.3 | 20.9 | |
| FPENetInput size=2048x1024, GPU=Nvidia GTX 2080 Ti2020.11 | 28.3 | — | 92.5 | 3.1 |