List your company

Semantic Segmentation on SYNTHIA-to-Cityscapes (SYN2CS) 16 classes (val)

51.7IoUFCNadv+RPT3+MS
16.02825.28934.5543.811Dec 24, 2018Mar 23, 2019Jun 20, 2019Sep 17, 2019Dec 15, 2019Mar 13, 2020Jun 11, 2020

Evaluation results

MethodLinks
FCNadv+RPT3+MSBase Model=FCNadv, RPT Type=Full, Multi-scale=true2020.0651.7—89.147.384.614.50.429.139.930.386.186.360.825.788.74928.457.559.5————
FCNadv+RPT3Base Model=FCNadv, RPT Type=Full (Patch + Cluster + Spatial)2020.0651.2—88.946.584.515.10.538.539.530.185.985.859.826.188.146.827.756.158.9————
FCNadv+RPT1Base Model=FCNadv, RPT Type=Patch-based consistency2020.0649.6—87.743.18410.50.542.240.533.18681.95626.185.935.824.856.257————
AdaptSegNetBackbone Network=ResNet-101, Adaptation=true, Mechanism=Adversary, Classes=132018.1246.79.1—————————————————————
PyCDA2020.0646.7—75.530.983.320.80.732.727.333.584.78564.125.48545.221.23253.3————
MLSL2020.0645.2—59.230.268.522.9136.232.728.386.275.468.627.782.726.324.352.751————
CBSTBackbone Network=ResNet-38, Adaptation=true, Mechanism=Self-Training2018.1242.513.3—————————————————————
CBST2020.0642.5—53.623.77512.50.336.423.526.384.874.767.217.584.528.415.255.848.4————
DISE2020.0641.5—91.753.577.12.50.227.16.27.678.481.255.819.282.330.317.134.3—————
MaxSquare2020.0641.4—82.940.780.310.20.825.812.818.282.582.253.1187931.410.435.648.2————
CGANBackbone Network=VGG-16, Adaptation=true, Mechanism=Adversary2018.1241.223.8—————————————————————
Conditional2020.0641.2—8525.873.53.4331.519.521.367.469.468.52576.541.617.929.5—————
ADVENT2020.0641.2—85.642.279.78.70.425.95.48.180.484.157.923.873.336.414.23348————
AdaptSegNetBackbone Network=ResNet-101, Adaptation=false, Mechanism=Adversary, Classes=132018.1238.6——————————————————————
DCANBackbone Network=PSPNet, Adaptation=true, Mechanism=Adversary2018.1238.48.9—————————————————————
DCAN2020.0638.4—82.836.475.75.10.125.8818.774.776.951.115.977.724.84.137.3—————
AdaptSegNetBackbone Network=VGG-16, Adaptation=true, Mechanism=Adversary, Classes=132018.1237.6——————————————————————
MCDBackbone Network=DRN-105, Adaptation=true, Mechanism=Adversary2018.1237.313.9—————————————————————
DCANBackbone Network=ResNet-101, Adaptation=true, Mechanism=Adversary2018.1236.58.5—————————————————————
ROADBackbone Network=VGG-16, Adaptation=true, Mechanism=Adversary2018.1236.210.8—————————————————————
ROAD2020.0636.2—77.73077.59.60.325.810.315.677.679.844.516.667.814.5723.8—————
LSDBackbone Network=VGG-16, Adaptation=true, Mechanism=Adversary2018.1236.19.3—————————————————————
Learning2020.0636.1—80.129.177.52.80.426.811.11878.176.748.215.270.517.48.716.7—————
NMDBackbone Network=Dialation Frontend, Adaptation=true, Mechanism=Adversary, Classes=132018.1235.75—————————————————————
DCANBackbone Network=VGG-16, Adaptation=true, Mechanism=Adversary2018.1235.49.5—————————————————————
CBSTBackbone Network=VGG-16, Adaptation=true, Mechanism=Self-Training2018.1235.412.8—————————————————————
CLossBackbone Network=VGG-16, Adaptation=true, Mechanism=Adversary2018.1234.29.3—————————————————————
Penalizing2020.0634.2—————————————————40.3————
DAMBackbone Network=VGG-16, Adaptation=true, Mechanism=Adversary2018.1230.78.7—————————————————————
NMDBackbone Network=Dialation Frontend, Adaptation=false, Mechanism=Adversary, Classes=132018.1230.7——————————————————————
Curriculum Domain AdaptationBackbone Network=VGG-19, Adaptation=true, Mechanism=Curriculum2018.1229.77.7—————————————————————
Curriculum2020.0629.7—57.423.174.70.50.6145.34.377.873.7451144.821.21.920.3—————
Curriculum Domain AdaptationBackbone Network=VGG-19, Adaptation=true, Mechanism=Curriculum, External Information=false2018.1229.67.6—————————————————————
DCANBackbone Network=PSPNet, Adaptation=false, Mechanism=Adversary2018.1229.5——————————————————————
CBSTBackbone Network=ResNet-38, Adaptation=false, Mechanism=Self-Training2018.1229.2——————————————————————
Curriculum Domain AdaptationBackbone Network=DRN-26, Adaptation=true, Mechanism=Curriculum2018.1228.26.3—————————————————————
DCANBackbone Network=ResNet-101, Adaptation=false, Mechanism=Adversary2018.1228——————————————————————
LSDBackbone Network=VGG-16, Adaptation=false, Mechanism=Adversary2018.1226.8——————————————————————
DCANBackbone Network=VGG-16, Adaptation=false, Mechanism=Adversary2018.1225.9——————————————————————
ROADBackbone Network=VGG-16, Adaptation=false, Mechanism=Adversary2018.1225.4——————————————————————
CLossBackbone Network=VGG-16, Adaptation=false, Mechanism=Adversary2018.1224.9——————————————————————
MCDBackbone Network=DRN-105, Adaptation=false, Mechanism=Adversary2018.1223.4——————————————————————
CBSTBackbone Network=VGG-16, Adaptation=false, Mechanism=Self-Training2018.1222.6——————————————————————
DAMBackbone Network=VGG-16, Adaptation=false, Mechanism=Adversary2018.1222——————————————————————
Curriculum Domain AdaptationBackbone Network=VGG-19, Adaptation=false, Mechanism=Curriculum2018.1222——————————————————————
Curriculum Domain AdaptationBackbone Network=VGG-19, Adaptation=false, Mechanism=Curriculum, External Information=false2018.1222——————————————————————
Curriculum Domain AdaptationBackbone Network=DRN-26, Adaptation=false, Mechanism=Curriculum2018.1221.9——————————————————————
FCN WldBackbone Network=Dialation Frontend, Adaptation=true, Mechanism=Adversary2018.1220.22.8—————————————————————
CGANBackbone Network=VGG-16, Adaptation=false, Mechanism=Adversary2018.1217.4——————————————————————
FCN WldBackbone Network=Dialation Frontend, Adaptation=false, Mechanism=Adversary2018.1217.4——————————————————————
AdaptSegNet2020.06——84.342.777.5———4.7777.982.554.32172.332.218.932.346.7————
Bidirectional2020.06——8646.780.3———14.111.679.281.354.127.973.742.225.745.351.4————
CCM2025.12——79.636.480.613.30.325.522.414.981.877.456.825.980.745.329.952————45.2
CLAN2020.06——81.33780.1———16.113.778.281.553.421.27332.922.630.747.8————
CONFETI2025.12——83.844.686.915.43.744.356.955.584.986.273.846.890.157.14663.2————58.7
CorDA2025.12——93.361.685.319.65.137.836.642.884.990.469.741.885.638.432.653.9————55
DACS2025.12——80.625.181.921.52.937.222.72483.790.867.638.382.938.928.547.6————48.3
DAFormerbaseline=true2025.12——84.540.788.441.56.5505554.68689.873.248.287.253.253.961.7————60.9
DAFormer+FST2025.12——88.346.18841.77.350.153.652.587.491.573.948.185.358.655.963.4————61.9
DAFormer+MICDrop2025.12——8137.189.445.79.551.857.35886.78573.650.488.264.756.862.8————62.4
DAFormer+OMUDA2025.12——88.551.989.649.87.952.459.258.686.292.876.25488.964.257.961.8————65
FADA2025.12——84.540.183.14.8034.320.127.284.88453.522.685.443.726.827.8————45.2
FAMDABackbone=DeepLabV2, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09——————————————————————57.02
FAMDABackbone=SegFormer, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09——————————————————————60
IDM2025.12——87.647.688.133.46.352.857.856.58377.566.252.189.355.657.164.2————60.9
MTL sourceBackbone=DeepLabV2, UDA setting=False, Learning protocol (STL/MTL)=MTL, Source/Target domain evaluation protocol=Source-only (No adaptation)2025.09——————————————————————15.32
MTL targetBackbone=DeepLabV2, UDA setting=False, Learning protocol (STL/MTL)=MTL, Source/Target domain evaluation protocol=Target-supervised (Upper Bound)2025.09——————————————————————70.43
MTL-UDABackbone=DeepLabV2, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09——————————————————————16.71
MulTBackbone=Swin, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09——————————————————————42.12
ProDA2025.12——87.845.784.637.10.64454.63788.184.474.224.388.251.140.545.6————55.5
SSF-DAN2020.06——84.641.780.8———11.514.780.885.357.521.6823619.334.550————
STL sourceBackbone=DeepLabV2, UDA setting=False, Learning protocol (STL/MTL)=STL, Source/Target domain evaluation protocol=Source-only (No adaptation)2025.09——————————————————————35.63
STL targetBackbone=DeepLabV2, UDA setting=False, Learning protocol (STL/MTL)=STL, Source/Target domain evaluation protocol=Target-supervised (Upper Bound)2025.09——————————————————————67.93
STL-UDABackbone=DeepLabV2, UDA setting=True, Learning protocol (STL/MTL)=STL2025.09——————————————————————37.55
Swin-UDABackbone=Swin, UDA setting=True, Learning protocol (STL/MTL)=STL2025.09——————————————————————39
Uncertainty2025.12——87.641.983.114.71.736.231.319.981.680.66321.886.240.723.653.1————47.9
VTAGMLBackbone=Swin, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09——————————————————————50.03
XTAMBackbone=DeepLabV2, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09——————————————————————37.93