Semantic Segmentation on GTA5 to Cityscapes (test)
73.3mIoUHALO
Evaluation results
| Method | Links | |||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HALOBudget=5%, Architecture=DeepLab-v3+, Evaluation Protocol=Source-free2023.06 | 73.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HALOBudget=2.2%, Architecture=DeepLab-v2, Evaluation Protocol=Source-free2023.06 | 70.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Target onlyAdaptation Protocol=Target only2021.03 | 67.4 | 97.3 | 79.8 | 88.6 | 32.5 | 48.2 | 56.3 | 63.6 | 73.3 | 89 | 58.9 | 93 | 78.2 | 55.2 | 92.2 | 45 | 67.3 | 39.6 | 49.9 | 73.6 | 89.6 | 94.3 | — | |
| RIPUBudget=2.2%, Architecture=DeepLab-v2, Evaluation Protocol=Source-free2023.06 | 67.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Source Only (Upper Bound)Backbone=ResNet1012020.04 | 65.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TransDA-BBackbone=Swin-B (88M)2022.03 | 63.2 | 95.4 | 63 | 89.7 | 45.8 | 44.2 | 49.2 | 59.4 | 38 | 91.7 | 60 | 94.5 | 80.8 | 57.4 | 93.2 | 43.5 | 47.3 | 38.7 | 57.2 | 50.9 | — | — | — | |
| CPSL-DDistillation=True2021.11 | 61.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TransDA-SBackbone=Swin-S (50M)2022.03 | 61.2 | 94.5 | 61.1 | 88.8 | 40.7 | 33.9 | 46.8 | 56.9 | 37.2 | 91.3 | 56.4 | 94.8 | 78.6 | 55 | 92.1 | 44.2 | 44.4 | 43.9 | 54.7 | 47 | — | — | — | |
| BAPA* + PCLDistillation=False, reimplementation=True2021.11 | 60.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Source Only (Upper Bound)Backbone=VGG162020.04 | 60.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ProDA-D + CaCoDistillation=True2021.11 | 58 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BAPA*Distillation=False, reimplementation=True2021.11 | 57.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ProDA-DDistillation=True2021.11 | 57.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BAPADistillation=False2021.11 | 57.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ELDAUDA type=Auxiliary task based (edge information)2022.11 | 57.3 | 94.9 | 64.1 | 88.2 | 35 | 44.7 | 40.3 | 47 | 54.6 | 88.7 | 47.4 | 88.9 | 67 | 31.1 | 90.2 | 53.7 | 56 | 0 | 41.7 | 55.5 | — | — | — | |
| CorDAUDA type=Auxiliary task based2022.11 | 56.6 | 94.7 | 63.1 | 87.6 | 30.7 | 40.6 | 40.2 | 47.8 | 51.6 | 87.6 | 47 | 89.7 | 66.7 | 31.4 | 86.7 | 41.1 | 52.5 | 0 | 39.8 | 56 | — | — | — | |
| SAC2022.03 | 55.7 | 91.8 | 54.3 | 87.4 | 36.2 | 30.2 | 43.7 | 49.7 | 42.1 | 89.3 | 54.3 | 90.5 | 71.8 | 34.9 | 89.8 | 38.8 | 47.3 | 24.9 | 38.3 | 43.8 | — | — | — | |
| CPSLDistillation=False2021.11 | 55.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ProDA*UDA type=Pure semantic segmentation2022.11 | 53.7 | 91.5 | 52.4 | 82.9 | 42 | 35.7 | 40 | 44.4 | 43.3 | 87 | 43.8 | 79.5 | 66.5 | 35.8 | 84.5 | 45.7 | 50.2 | 0 | 27.3 | 34 | — | — | — | |
| ProDADistillation=False2021.11 | 53.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTYDValid. ref. model=PTBN2024.09 | 53.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTYDValid. ref. model=DT-ST2024.09 | 53.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DACSUDA type=Pure semantic segmentation2022.11 | 52.1 | 89.9 | 39.7 | 87.9 | 30.7 | 39.5 | 38.5 | 46.4 | 52.8 | 88 | 44 | 88.8 | 67.2 | 29 | 87.3 | 39.2 | 49.6 | 23.2 | 34.7 | 39.6 | — | — | — | |
| DT-ST2024.09 | 52.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CAG-UDABackbone=ResNet-101, Adaptation Protocol=UDA2019.10 | 51.7 | 93.2 | 57 | 85.6 | 35.7 | 25.1 | 37.5 | 30.8 | 45.3 | 87.1 | 50.1 | 89.4 | 62.7 | 40.8 | 87.8 | 18 | 32.4 | 34.5 | 34.4 | 35.4 | — | — | — | |
| IASTUDA type=Pure semantic segmentation2022.11 | 51.5 | 93.8 | 57.8 | 85.1 | 39.5 | 26.7 | 26.2 | 43.1 | 34.7 | 84.9 | 32.9 | 88 | 62.6 | 36.8 | 86.3 | 34.9 | 52.2 | 1.7 | 29 | 44.6 | — | — | — | |
| PITUDA type=Pure semantic segmentation2022.11 | 50.6 | 87.5 | 43.4 | 78.8 | 31.2 | 30.2 | 36.3 | 39.9 | 42 | 79.2 | 37.1 | 79.3 | 65.4 | 34.4 | 84.9 | 34.1 | 53.1 | 16.9 | 27.7 | 46.4 | — | — | — | |
| FDA-MBTBackbone=ResNet101, multi_band_transfer=true, self_supervised_training=true2020.04 | 50.45 | 92.5 | 53.3 | 82.4 | 26.5 | 27.6 | 36.4 | 40.6 | 38.9 | 82.3 | 39.8 | 78 | 62.6 | 34.4 | 84.9 | 34.1 | 53.1 | 16.9 | 27.7 | 46.4 | — | — | — | |
| UncertaintyUDA type=Pure semantic segmentation2022.11 | 50.3 | 90.4 | 31.2 | 85.1 | 36.9 | 25.6 | 37.5 | 48.8 | 48.5 | 85.3 | 34.8 | 81.1 | 64.4 | 37.5 | 83.2 | 46 | 45.6 | 25.7 | 23.5 | 49.9 | — | — | — | |
| CAG-UDAUDA type=Pure semantic segmentation2022.11 | 50.2 | 90.4 | 51.6 | 83.8 | 34.2 | 27.8 | 38.4 | 25.3 | 48.4 | 85.4 | 38.2 | 78.1 | 58.6 | 34.6 | 84.7 | 21.9 | 42.7 | 41.1 | 29.3 | 37.2 | — | — | — | |
| SDF2024.09 | 49.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BDLBackbone=ResNet1012020.04 | 48.5 | 91 | 44.7 | 84.2 | 34.6 | 27.6 | 30.2 | 36 | 36 | 85 | 43.6 | 83 | 58.6 | 31.6 | 83.3 | 35.3 | 49.7 | 3.3 | 28.8 | 35.6 | — | — | — | |
| Our (Stage-II)Backbone=DeepLabv2, Description=Memory regularization in vivo Stage-II2019.12 | 48.3 | 90.5 | 35 | 84.6 | 34.3 | 24 | 36.8 | 44.1 | 42.7 | 84.5 | 33.6 | 82.5 | 63.1 | 3,440 | 85.8 | 32.9 | 38.2 | 2 | 27.1 | 41.8 | — | — | — | |
| HCL2024.09 | 48.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PLCABackbone=DeepLab-V2 (ResNet-101)2020.10 | 47.7 | 84 | 30.4 | 82.4 | 35.3 | 24.8 | 32.2 | 36.8 | 24.5 | 85.5 | 37.2 | 78.6 | 66.9 | 32.8 | 85.5 | 40.4 | 48 | 8.8 | 29.8 | 41.8 | — | — | — | |
| CRSTMethod Category=ST, Backbone=DeepLab-V2 (ResNet-101)2020.10 | 47.1 | 91 | 55.4 | 80 | 33.7 | 21.4 | 37.3 | 32.9 | 24.5 | 85 | 34.1 | 80.8 | 57.7 | 24.6 | 84.1 | 27.8 | 30.1 | 26.9 | 26 | 42.3 | — | — | — | |
| MRKLDBackbone=DeepLabv22019.12 | 47.1 | 91 | 55.4 | 80 | 33.7 | 21.4 | 37.3 | 32.9 | 24.5 | 85 | 34.1 | 80.8 | 57.7 | 2,460 | 84.1 | 27.8 | 30.1 | 26.9 | 26 | 42.3 | — | — | — | |
| FCANBackbone=DeepLabv22019.12 | 46.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PatchAlignMethod Category=AT, Backbone=DeepLab-V2 (ResNet-101)2020.10 | 46.5 | 92.3 | 51.9 | 82.1 | 29.2 | 25.1 | 24.5 | 33.8 | 33 | 82.4 | 32.8 | 82.2 | 58.6 | 27.2 | 84.3 | 33.4 | 46.3 | 2.2 | 29.5 | 32.3 | — | — | — | |
| PatchAlignBackbone=DeepLabv22019.12 | 46.5 | 92.3 | 51.9 | 82.1 | 29.2 | 25.1 | 24.5 | 33.8 | 33 | 82.4 | 32.8 | 82.2 | 58.6 | 2,720 | 84.3 | 33.4 | 46.3 | 2.2 | 29.5 | 32.3 | — | — | — | |
| DPRNetwork=ResNet-101, Mode=Domain Adaptation, Access Target=true2021.08 | 46.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MaxSquareMethod Category=ST, Backbone=DeepLab-V2 (ResNet-101)2020.10 | 46.4 | 89.4 | 43 | 82.1 | 30.5 | 21.3 | 30.3 | 34.7 | 24 | 85.3 | 39.4 | 78.2 | 63 | 22.9 | 84.6 | 36.4 | 43 | 5.5 | 34.7 | 33.5 | — | — | — | |
| CBSTUDA type=Pure semantic segmentation2022.11 | 45.9 | 91.8 | 53.5 | 80.5 | 32.7 | 21 | 34 | 28.9 | 20.4 | 83.9 | 34.2 | 80.9 | 53.1 | 24 | 82.7 | 30.3 | 35.9 | 16 | 25.9 | 42.8 | — | — | — | |
| APODABackbone=DeepLabv22019.12 | 45.9 | 85.6 | 32.8 | 79 | 29.5 | 25.5 | 26.8 | 34.6 | 19.9 | 83.7 | 40.6 | 77.9 | 59.2 | 2,830 | 84.6 | 34.6 | 49.2 | 8 | 32.6 | 39.6 | — | — | — | |
| CBSTBackbone=DeepLabv22019.12 | 45.9 | 91.8 | 53.5 | 80.5 | 32.7 | 21 | 34 | 28.9 | 20.4 | 83.9 | 34.2 | 80.9 | 53.1 | 2,400 | 82.7 | 30.3 | 35.9 | 16 | 25.9 | 42.8 | — | — | — | |
| SFDA2024.09 | 45.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AdvEntBackbone=ResNet1012020.04 | 45.5 | 89.4 | 33.1 | 81 | 26.6 | 26.8 | 27.2 | 33.5 | 24.7 | 83.9 | 36.7 | 78.8 | 58.7 | 30.5 | 84.8 | 38.5 | 44.5 | 1.7 | 31.6 | 32.4 | — | — | — | |
| ADVENTMethod Category=AT, Backbone=DeepLab-V2 (ResNet-101)2020.10 | 45.5 | 89.4 | 33.1 | 81 | 26.6 | 26.8 | 27.2 | 33.5 | 24.7 | 83.9 | 36.7 | 78.8 | 58.7 | 30.5 | 84.8 | 38.5 | 44.5 | 1.7 | 31.6 | 32.4 | — | — | — | |
| AdvEntBackbone=DeepLabv22019.12 | 45.5 | 89.4 | 33.1 | 81 | 26.6 | 26.8 | 27.2 | 33.5 | 24.7 | 83.9 | 36.7 | 78.8 | 58.7 | 3,050 | 84.8 | 38.5 | 44.5 | 1.7 | 31.6 | 32.4 | — | — | — | |
| Our (Stage-I)Backbone=DeepLabv2, Description=Memory regularization in vivo Stage-I2019.12 | 45.5 | 89.1 | 23.9 | 82.2 | 19.5 | 20.1 | 33.5 | 42.2 | 39.1 | 85.3 | 33.7 | 76.4 | 60.2 | 3,370 | 86 | 36.1 | 43.3 | 5.9 | 22.8 | 30.8 | — | — | — | |
| ABStructBackbone=ResNet1012020.04 | 45.4 | 91.5 | 47.5 | 82.5 | 31.3 | 25.6 | 33 | 33.7 | 25.8 | 82.7 | 28.8 | 82.7 | 62.4 | 30.8 | 85.2 | 27.7 | 34.5 | 6.4 | 25.2 | 24.4 | — | — | — | |
| DISEMethod Category=AT, Backbone=DeepLab-V2 (ResNet-101)2020.10 | 45.4 | 91.5 | 47.5 | 82.5 | 31.3 | 25.6 | 33 | 33.7 | 25.8 | 82.7 | 28.8 | 82.7 | 62.4 | 30.8 | 85.2 | 27.7 | 34.5 | 6.4 | 25.2 | 24.4 | — | — | — | |
| SSF-DANMethod Category=AT, Backbone=DeepLab-V2 (ResNet-101)2020.10 | 45.4 | 90.3 | 38.9 | 81.7 | 24.8 | 22.9 | 30.5 | 37 | 21.2 | 84.8 | 38.8 | 76.9 | 58.8 | 30.7 | 85.7 | 30.6 | 38.1 | 5.9 | 28.3 | 36.9 | — | — | — | |
| URMDA2024.09 | 45.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FDA-ENTBackbone=ResNet101, entropy_regularization=true2020.04 | 45 | 90.8 | 42.7 | 80.8 | 28.1 | 26.6 | 31.8 | 32.8 | 29.1 | 81.6 | 31.2 | 76.2 | 56.9 | 27.7 | 82.8 | 25.3 | 44.1 | 15.3 | 21.1 | 30.2 | — | — | — | |
| FDABackbone=ResNet1012020.04 | 44.6 | 90 | 40.5 | 79.4 | 25.3 | 26.7 | 30.6 | 31.9 | 29.3 | 79.4 | 28.8 | 76.5 | 56.4 | 27.5 | 81.7 | 27.7 | 45.1 | 17 | 23.8 | 29.6 | — | — | — | |
| DSU w/ MADBackbone=ResNet-1012023.03 | 43.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 57.2 | |
| ADVENTNetwork=ResNet-101, Mode=Domain Adaptation, Access Target=true2021.08 | 43.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OursNetwork=ResNet-101, Mode=Domain Generalization, Access Target=false2021.08 | 43.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SOMANBackbone=ResNet-101, Training Strategy=LO++, Source-only=true2021.08 | 43.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CLANBackbone=ResNet1012020.04 | 43.2 | 87 | 27.1 | 79.6 | 27.3 | 23.3 | 28.3 | 35.5 | 24.2 | 83.6 | 27.4 | 74.2 | 58.6 | 28 | 76.2 | 33.1 | 36.7 | 6.7 | 31.9 | 31.4 | — | — | — | |
| CLAN2020.03 | 43.2 | 87 | 27.1 | 79.6 | 27.3 | 23.3 | 28.3 | 35.5 | 24.2 | 83.6 | 27.4 | 74.2 | 58.6 | 28 | 76.2 | 33.1 | 36.7 | 6.7 | 31.9 | 31.4 | — | — | — | |
| SAPNet2020.03 | 43.2 | 88.4 | 38.7 | 79.5 | 29.4 | 24.7 | 27.3 | 32.6 | 20.4 | 82.2 | 32.9 | 73.3 | 55.5 | 26.9 | 82.4 | 31.8 | 41.8 | 2.4 | 26.5 | 24.1 | — | — | — | |
| CLANMethod Category=AT, Backbone=DeepLab-V2 (ResNet-101)2020.10 | 43.2 | 87 | 27.1 | 79.6 | 27.3 | 23.3 | 28.3 | 35.5 | 24.2 | 83.6 | 27.4 | 74.2 | 58.6 | 28 | 76.2 | 33.1 | 36.7 | 6.7 | 31.9 | 31.4 | — | — | — | |
| CLANBackbone=DeepLabv22019.12 | 43.2 | 87 | 27.1 | 79.6 | 27.3 | 23.3 | 28.3 | 35.5 | 24.2 | 83.6 | 27.4 | 74.2 | 58.6 | 2,800 | 76.2 | 33.1 | 36.7 | 6.7 | 31.9 | 31.4 | — | — | — | |
| CLANNetwork=ResNet-101, Mode=Domain Adaptation, Access Target=true2021.08 | 43.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SOMANBackbone=ResNet-101, Training Strategy=ERM, Source-only=true2021.08 | 43.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CycadaBackbone=ResNet1012020.04 | 42.7 | 86.7 | 35.6 | 80.1 | 19.8 | 17.5 | 38 | 39.9 | 41.5 | 82.7 | 27.9 | 73.6 | 64.9 | 19 | 65 | 12 | 28.6 | 4.5 | 31.1 | 42 | — | — | — | |
| CyCADANetwork=ResNet-101, Mode=Domain Adaptation, Access Target=true2021.08 | 42.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SIBANBackbone=DeepLabv22019.12 | 42.6 | 88.5 | 35.4 | 79.5 | 26.3 | 24.3 | 28.5 | 32.5 | 18.3 | 81.2 | 40 | 76.5 | 58.1 | 2,580 | 82.6 | 30.3 | 34.4 | 3.4 | 21.6 | 21.5 | — | — | — | |
| DRPCBackbone=ResNet-1012021.08 | 42.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AdaptSegMethod Category=AT, Backbone=DeepLab-V2 (ResNet-101)2020.10 | 42.4 | 86.5 | 36 | 79.9 | 23.4 | 23.3 | 23.9 | 35.2 | 14.8 | 83.4 | 33.3 | 75.6 | 58.5 | 27.6 | 73.7 | 32.5 | 35.4 | 3.9 | 30.1 | 28.1 | — | — | — | |
| AdaptSegNetBackbone=DeepLabv22019.12 | 42.4 | 86.5 | 36 | 79.9 | 23.4 | 23.3 | 23.9 | 35.2 | 14.8 | 83.4 | 33.3 | 75.6 | 58.5 | 2,760 | 73.7 | 32.5 | 35.4 | 3.9 | 30.1 | 28.1 | — | — | — | |
| DLOWBackbone=ResNet1012020.04 | 42.3 | 87.1 | 33.5 | 80.5 | 24.5 | 13.2 | 29.8 | 29.5 | 26.6 | 82.6 | 26.7 | 81.8 | 55.9 | 25.3 | 78 | 33.5 | 38.7 | 0 | 22.9 | 34.5 | — | — | — | |
| DSUVenue=ICLR 22, Backbone=ResNet-1012023.03 | 42.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 54.7 | |
| FDA-MBTBackbone=VGG16, multi_band_transfer=true, self_supervised_training=true2020.04 | 42.2 | 86.1 | 35.1 | 80.6 | 30.8 | 20.4 | 27.5 | 30 | 26 | 82.1 | 30.3 | 73.6 | 52.5 | 21.7 | 81.7 | 24 | 30.5 | 29.9 | 14.6 | 24 | — | — | — | |
| DCANBackbone=ResNet1012020.04 | 41.7 | 85 | 30.8 | 81.3 | 25.8 | 21.2 | 22.2 | 25.4 | 26.6 | 83.4 | 36.7 | 76.2 | 58.9 | 24.9 | 80.7 | 29.5 | 42.9 | 2.5 | 26.9 | 11.6 | — | — | — | |
| DCANNetwork=ResNet-101, Mode=Domain Adaptation, Access Target=true2021.08 | 41.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AdaStructBackbone=ResNet1012020.04 | 41.4 | 86.5 | 25.9 | 79.8 | 22.1 | 20 | 23.6 | 33.1 | 21.8 | 81.8 | 25.9 | 75.9 | 57.3 | 26.2 | 76.3 | 29.8 | 32.1 | 7.2 | 29.5 | 32.5 | — | — | — | |
| TAN2020.03 | 41.4 | 86.5 | 25.9 | 79.8 | 22.1 | 20 | 23.6 | 33.1 | 21.8 | 81.8 | 25.9 | 75.9 | 57.3 | 26.2 | 76.3 | 29.8 | 32.1 | 7.2 | 29.5 | 32.5 | — | — | — | |
| DRANetCADT=true2021.03 | 41.4 | 85 | 35.8 | 82 | 26.4 | 21.6 | 27 | 29.2 | 28.1 | 84.2 | 34 | 81.9 | 53.6 | 15.9 | 73.6 | 21.1 | 31 | 16.7 | 17.2 | 22.8 | 76.4 | 85.7 | — | |
| AdaptSegNetNetwork=ResNet-101, Mode=Domain Adaptation, Access Target=true2021.08 | 41.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BDLBackbone=VGG162020.04 | 41.3 | 89.2 | 40.9 | 81.2 | 29.1 | 19.2 | 14.2 | 29 | 19.6 | 83.7 | 35.9 | 80.7 | 54.7 | 23.3 | 82.7 | 25.8 | 28 | 2.3 | 25.7 | 19.9 | — | — | — | |
| DRANetCADT=false2021.03 | 40.6 | 83.5 | 33.7 | 80.7 | 22.7 | 19.5 | 25.2 | 28.6 | 25.8 | 84.1 | 32.8 | 84.4 | 53.3 | 13.6 | 75.7 | 21.7 | 30.6 | 15.8 | 20.3 | 19.5 | 75.6 | 84.9 | — | |
| LCAdaptation Protocol=UDA2021.03 | 40.5 | 83.5 | 35.2 | 79.9 | 24.6 | 16.2 | 32.8 | 33.1 | 31.8 | 81.7 | 29.2 | 66.3 | 63 | 14.3 | 81.8 | 21 | 26.5 | 8.5 | 16.7 | 24 | 75.1 | 84 | — | |
| MixstyleVenue=ICLR 21, Backbone=ResNet-1012023.03 | 40.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 53.8 | |
| Baseline + SAN + SAW (All)Backbone=ResNet-50, SAN=true, SAW=true2022.04 | 39.75 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Maximum Classifier DiscrepancyBackbone=DRN-105, k=22017.12 | 39.7 | 90.3 | 31 | 78.5 | 19.7 | 17.3 | 28.6 | 30.9 | 16.1 | 83.7 | 30 | 69.1 | 58.5 | 19.6 | 81.5 | 23.8 | 30 | 5.7 | 25.7 | 14.3 | — | — | — | |
| MCDBackbone=DRN-1052019.12 | 39.7 | 90.3 | 31 | 78.5 | 19.7 | 17.3 | 28.6 | 30.9 | 16.1 | 83.7 | 30 | 69.1 | 58.5 | 1,960 | 81.5 | 23.8 | 30 | 5.7 | 25.7 | 14.3 | — | — | — | |
| CyCADAAdaptation Protocol=UDA2021.03 | 39.5 | 79.1 | 33.1 | 77.9 | 23.4 | 17.3 | 32.1 | 33.3 | 31.8 | 81.5 | 26.7 | 69 | 62.8 | 14.7 | 74.5 | 20.9 | 25.6 | 6.9 | 18.8 | 20.4 | 72.4 | 82.3 | — | |
| CyCADABackbone=DRN-262019.12 | 39.5 | 79.1 | 33.1 | 77.9 | 23.4 | 17.3 | 32.1 | 33.3 | 31.8 | 81.5 | 26.7 | 69 | 62.8 | 1,470 | 74.5 | 20.9 | 25.6 | 6.9 | 18.8 | 20.4 | — | — | — | |
| ROAD2020.03 | 39.4 | 76.3 | 36.1 | 69.6 | 28.6 | 22.4 | 28.6 | 29.3 | 14.8 | 82.3 | 35.3 | 72.9 | 54.4 | 17.8 | 78.9 | 27.7 | 30.3 | 4 | 24.9 | 12.6 | — | — | — | |
| ROADNetwork=ResNet-101, Mode=Domain Adaptation, Access Target=true2021.08 | 39.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SOMANBackbone=VGG-16, Training Strategy=LO++, Source-only=true2021.08 | 39.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Baseline + SANBackbone=ResNet-50, SAN=true, SAW=false2022.04 | 38.92 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Maximum Classifier DiscrepancyBackbone=DRN-105, k=32017.12 | 38.9 | 90.8 | 35.6 | 80.5 | 22.9 | 15.5 | 27.5 | 24.9 | 15.1 | 84.2 | 31.8 | 77.4 | 54.6 | 17.2 | 82 | 21.6 | 29 | 1.3 | 21.8 | 5.3 | — | — | — | |
| SOMANBackbone=VGG-16, Training Strategy=ERM, Source-only=true2021.08 | 38.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ERM w/ MADBackbone=ResNet-1012023.03 | 38.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 52.2 | |
| ASGBackbone=ResNet-1012021.08 | 38.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| pAdaINVenue=CVPR 21, Backbone=ResNet-1012023.03 | 38.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 52.1 |