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Semantic Segmentation on Cityscapes trained on SYNTHIA (val)

93.3Road IoUConTrans
54.09264.27174.4584.629Apr 16, 2020Mar 25, 2021Mar 4, 2022Feb 10, 2023Jan 20, 2024Dec 28, 2024Dec 7, 2025

Evaluation results

MethodLinks
ConTransBackbone=ResNet-1012021.0793.35481.314.30.728.821.322.882.683.357.722.883.430.720.247.246.553.9—————
BiMaL2021.0892.851.581.510.2130.417.615.982.484.655.922.385.744.524.638.846.253.7—————
LTIRBackbone=ResNet-1012021.0792.653.279.2——1.67.578.684.452.62082.134.814.639.4——49.3—————
MetaCorrectBackbone=ResNet-1012021.0792.652.781.38.92.428.1137.383.58560.119.784.837.221.543.945.152.5—————
TIRBackbone=ResNet-101, Base Model Architecture=DeepLab-V22021.1192.653.279.2———1.67.578.684.452.62082.134.814.639.4—49.3—————
WeakSegBackbone=ResNet-1012021.079253.580.911.40.421.83.8681.684.460.824.480.5392641.744.351.9—————
ADFormerArch.=T2025.1291.853.68740.55.246.852.154.988.492.672.545.786.161.6—64.462.1————50.422.9
ASABackbone=ResNet-1012021.0791.248.580.43.70.321.75.55.279.583.656.421.980.336.22032.941.749.3—————
TransDAArch.=T2025.1290.454.886.431.11.753.861.137.190.39371.225.392.366—49.859.3————44.426.5
TridentAdaptBackbone=ResNet-101, Base Model Architecture=DeepLab-V22021.1189.551.979.17.31.134.315.225.880.48857.319.287.552.218.642.146.854.4—————
DADA2021.0889.244.881.46.80.326.28.611.181.88454.719.379.740.71438.842.649.8—————
ProDAArch.=C2025.1287.845.784.637.10.64454.63788.184.474.224.388.251.1—45.655.5————40.525.6
SAITBackbone=ResNet-101, Base Model Architecture=DeepLab-V22021.1187.749.781.6———19.318.581.183.758.731.873.347.937.145.7—55.1—————
RPLLBackbone=ResNet-1012021.0787.641.983.114.71.736.231.319.981.680.66321.886.240.723.653.147.954.9—————
CPSLArch.=C2025.1287.243.985.533.60.347.757.437.287.888.5793290.649.4—59.857.9————50.825.5
DASTBackbone=ResNet-1012021.0787.144.582.310.70.829.913.913.181.68660.325.183.140.124.440.545.252.5—————
AdvEntBackbone=ResNet-101, Framework=AdvEnt [29]2020.048744.179.79.60.624.34.87.280.183.656.423.772.732.612.833.740.847.6—————
AdvEnt2021.088744.179.79.60.624.34.87.280.183.656.423.772.732.612.833.740.847.6—————
MICArch.=T2025.1286.650.589.347.97.859.466.763.487.194.68158.990.161.9—64.367.3————67.121
DSPBackbone=ResNet-1012021.0786.442822.11.83431.633.287.288.564.131.983.865.428.8545159.9—————
CrCDABackbone=ResNet-1012021.0786.244.979.58.30.727.89.411.878.686.557.226.176.839.921.532.142.950—————
MIC + BLDAArch.=T2025.1286.161.289.847.210.262.670.367.19094.481.456.490.567.2—66.369.1————64.820.4
BDLBackbone=ResNet-101, Base Model Architecture=DeepLab-V22021.118646.780.3———14.111.679.281.354.127.973.742.225.745.3—51.4—————
CIRNBackbone=ResNet-1012021.0785.840.480.44.71.830.816.418.680.780.455.226.383.943.818.634.343.951.1—————
ADVENTBackbone=ResNet-101, Base Model Architecture=DeepLab-V22021.1185.642.279.78.70.425.95.48.180.484.157.923.873.336.414.23341.248—————
DIGAArch.=T2025.1285.247.788.849.54.857.265.760.985.392.979.452.88964.7—64.965.8————63.921.4
HRDAArch.=T2025.1285.247.788.849.54.857.265.760.985.392.979.452.88964.7—64.965.8————63.921.4
SSF-DANBackbone=ResNet-101, Base Model Architecture=DeepLab-V22021.1184.641.780.8———11.514.780.885.357.521.6823619.334.5—50—————
DAFormerArch.=T2025.1284.540.788.441.56.5505554.68689.873.248.287.253.2—61.760.9————53.922.1
IntraDABackbone=ResNet-101, Framework=AdvEnt [29]2020.0484.337.779.55.30.424.99.28.48084.157.2237838.120.336.541.748.9—————
UIDABackbone=ResNet-1012021.0784.337.779.55.30.424.99.28.48084.157.2237838.120.336.541.748.9—————
ESLBackbone=ResNet-1012021.0784.339.7799.40.727.71614.378.383.859.126.672.735.823.645.843.550.7—————
IntraDA2021.0884.337.779.55.30.424.99.28.48084.157.2237838.120.336.541.748.9—————
AdaptSegBackbone=ResNet-101, Base Model Architecture=DeepLab-V22021.1184.342.777.5———4.7777.982.554.32172.332.218.932.3—46.7—————
IntroDABackbone=ResNet-101, Base Model Architecture=DeepLab-V22021.1184.337.779.55.30.424.99.28.48084.157.2237838.120.336.541.748.9—————
HRDA + BLDAArch.=T2025.1283.954.987.553.111.563.269.464.487.293.179.154.788.369.1—65.767.9————64.219.3
CoPTArch.=T2025.1283.444.39050.4860676387.594.881.158.689.766.5—6567.4————68.921.1
PITBackbone=ResNet-1012021.0783.127.681.58.90.321.826.433.876.478.864.227.679.631.23131.34451.8—————
LSEBackbone=ResNet-1012021.0782.943.178.19.30.628.29.114.47783.558.125.971.93829.431.242.649.4—————
CLANBackbone=ResNet-1012021.0782.737.281.5———17.113.181.283.355.522.176.630.123.530.7—48.8—————
STARBackbone=ResNet-1012021.0782.636.281.1———12.28.778.482.25922.576.333.611.940.8—48.1—————
PLCAArch.=C2025.1282.6298111.20.233.624.918.382.882.362.126.585.648.9—52.246.8————26.828.3
AdaptPatch2021.0882.239.479.4———6.510.877.88254.921.167.730.717.832.2—46.3—————
IASTBackbone=ResNet-1012021.0781.941.583.317.74.632.330.928.883.48565.530.886.538.233.152.749.857—————
AdaptSegNetBackbone=ResNet-101, Framework=AdvEnt [29]2020.0481.739.178.411.10.325.86.8979.180.854.82166.834.713.829.939.645.8—————
CLAN2021.0881.33780.1———16.113.778.281.553.421.27332.922.630.7—47.8—————
DAFormer + BLDAArch.=T2025.1280.744.985.645.19.654.360.258.787.792.375.751.187.362.7—65.864————59.920.6
DACSBackbone=ResNet-1012021.0780.625.181.921.52.937.222.72483.790.867.638.382.938.928.547.648.354.8—————
DACSArch.=C2025.1280.625.181.921.52.937.222.72483.790.867.638.382.938.9—47.648.3————28.527.5
AdaptSegNet2021.0879.237.278.8———9.910.578.280.553.519.66729.521.631.3—45.9—————
PyCDABackbone=ResNet-101, Base Model Architecture=DeepLab-V22021.1175.530.983.320.80.732.727.333.584.78564.125.48545.221.23246.753.3—————
MinEntBackbone=ResNet-101, Framework=AdvEnt [29]2020.0473.529.277.17.70.2277.111.476.782.157.221.369.429.212.927.938.144.2—————
SPIGANno-PI=false2021.0871.129.871.43.70.333.26.415.681.278.952.713.175.925.51020.536.842.4—————
SPIGANno-PI=true2021.0869.529.468.74.40.332.45.8158178.752.213.172.823.67.918.735.841.2—————
CRSTBackbone=ResNet-101, Base Model Architecture=DeepLab-V22021.1167.732.273.910.71.637.422.231.280.880.560.829.182.82519.445.343.850.1—————
CRSTArch.=C2025.1267.732.273.910.71.637.422.231.280.880.560.829.182.825—45.343.8————19.426
Without Adaptation2021.0864.926.171.530.221.70.10.273.17148.420.762.927.91235.633.739.6—————
Without adaptationBackbone=ResNet-101, Framework=AdvEnt [29]2020.0455.623.874.69.20.224.46.112.174.87955.319.139.623.313.72533.538.6—————
Source OnlyBackbone=ResNet-1012021.0755.623.874.69.20.224.46.112.174.87955.319.139.623.313.72533.538.6—————
Source-onlyBackbone=ResNet-101, Base Model Architecture=DeepLab-V22021.1155.623.874.6———6.112.174.87955.319.139.623.313.725—38.6—————