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Semantic Segmentation on GTA5 to Cityscapes

73.8mIoUHRDA
27.41639.45851.563.542Mar 8, 2020Mar 28, 2021Apr 18, 2022May 8, 2023May 28, 2024Jun 17, 2025Jul 8, 2026

Evaluation results

MethodLinks
HRDA2022.0473.896.474.49161.651.557.163.969.391.348.494.27952.993.984.185.775.963.967.5—
FREDOMNetwork=Trans.2023.0473.696.774.890.958.14957.563.471.491.652.194.478.453.194.183.985.272.562.868.915.8
FSTsetting=UDA, base_method=DAFormer2022.0969.395.367.789.355.547.150.157.258.689.95192.972.746.392.57881.674.457.762.6—
ProCSTNetwork=Trans.2023.0468.795.869.689.855.84549.856.863.390.250.39372.244.992.372.278.865.156.463.117.1
DAFormer2022.0468.395.770.289.453.548.149.655.859.489.947.992.572.244.792.374.578.265.155.961.8—
DAFormersetting=UDA2022.0968.395.770.289.453.548.149.655.859.489.947.992.572.244.792.374.578.265.155.961.8—
DAFormerNetwork=Trans.2023.0468.395.770.289.453.548.149.655.859.489.947.992.572.244.792.374.578.265.155.961.817.3
TransDANetwork=Trans.2023.0463.994.764.289.248.145.850.160.240.890.450.293.776.747.692.556.860.147.649.655.419.1
DDB-round2Input size=(512,512), Total GPUs=1, Total iterations=160K, Pseudo-label generation=false, Prototype generation=true2022.0962.7————————————————————
FREDOMNetwork=DL-V22023.0461.390.954.187.844.132.645.251.457.188.642.689.568.84089.758.462.655.347.758.119.1
DDB-round1Input size=(512,512), Total GPUs=1, Total iterations=80K, Pseudo-label generation=false, Prototype generation=true2022.0961.2————————————————————
CPSLsetting=UDA2022.0960.892.359.984.945.729.752.861.559.587.941.5857335.590.448.773.926.353.853.9—
CPSL+distillInput size=(896,512), Total GPUs=4, Total iterations=238K, Pseudo-label generation=true, Prototype generation=true2022.0960.8————————————————————
UndoDA+distillInput size=(896,512), Total GPUs=4, Total iterations=238K, Pseudo-label generation=true, Prototype generation=true2022.0959.3————————————————————
ProDA2022.0457.587.85679.746.344.845.653.539.288.845.559.4148.956.445.559.4148.956.4—
ProDAsetting=UDA2022.0957.587.85679.746.344.845.653.553.588.645.282.170.739.288.845.559.4148.956.4—
ProDA+distillInput size=(896,512), Total GPUs=4, Total iterations=238K, Pseudo-label generation=true, Prototype generation=true2022.0957.5————————————————————
ProDANetwork=DL-V22023.0457.587.85679.746.344.845.653.553.588.645.282.170.739.288.845.559.4148.956.421.7
BAPA2022.0457.494.4618826.839.938.346.14090.260.459045.154.257.484.5045.154.2—
CorDA2022.0456.694.763.187.630.740.640.247.84789.751.687.666.735.990.248.957.5039.856—
SACNetwork=DL-V22023.0453.890.353.986.642.527.445.148.642.987.540.28667.629.788.54954.69.826.645.124.2
Uniform Phase MarginalizationBackbone=DINOv3/F, K (Phase Marginalization)=42026.0652.76————————————————————
IAST-MST(ours)Arch.=A&S2020.0852.294.158.885.439.729.225.143.134.284.834.688.762.730.387.642.350.324.735.240.2—
DACS2022.0452.189.939.787.930.739.538.546.44488.847.267.252.835.884.545.750.2027.334—
BaselineBackbone=DINOv3/F, K (Phase Marginalization)=12026.0651.94————————————————————
IAST(ours)Arch.=A&S2020.0851.593.857.885.139.526.726.243.134.784.932.98862.62987.339.249.623.234.739.6—
MRNet+OursDescription=MRNet with proposed variance regularization2020.0350.390.431.285.136.925.637.548.848.585.334.881.164.436.886.334.952.21.72944.6—
BLFArch.=ST2020.0848.59144.784.234.627.630.236368543.68358.631.683.335.349.73.328.835.6—
AdaptMRArch.=A&S2020.0848.390.53584.634.32436.844.142.784.533.682.563.134.485.832.938.2227.141.8—
MRNet+PseudoDescription=MRNet with conventional pseudo label learning2020.0348.390.53584.634.32436.844.142.784.533.682.563.134.485.832.938.2227.141.8—
PyCDAArch.=ST2020.0847.490.536.384.432.428.734.636.431.586.837.978.562.321.585.627.934.81822.949.3—
BiMaLNetwork=DL-V22023.0447.391.239.682.729.425.229.634.325.585.44480.859.730.486.638.547.61.23436.825.9
MRKLDArch.=ST2020.0847.19155.48033.721.437.332.924.58534.180.857.724.684.127.830.126.92642.3—
MRKLDReference=[Zou et al., 2019]2020.0347.19155.48033.721.437.332.924.58534.180.857.724.684.127.830.126.92642.3—
FCANReference=[Zhang et al., 2018]2020.0346.6————————————————————
PatchAlignArch.=ST2020.0846.592.351.982.129.225.124.533.83382.432.882.258.627.284.333.426.32.229.532.3—
PatchAlignReference=[Tsai et al., 2019]2020.0346.592.351.982.129.225.124.533.83382.432.882.258.627.284.333.446.32.229.532.3—
IntraDANetwork=DL-V22023.0446.390.636.182.629.521.327.631.423.185.239.380.259.329.486.433.653.9032.737.626.7
SourceOnlysetting=UDA2022.0946.176.118.784.629.831.434.544.823.487.542.687.363.421.281.139.344.62.933.229.7—
SIBANArch.=AT2020.0845.988.535.479.526.324.328.532.518.381.24076.558.125.882.630.334.43.421.621.5—
APODAArch.=AT2020.0845.985.632.87929.525.526.834.619.983.740.677.959.228.384.634.649.2832.639.6—
CBSTArch.=ST2020.0845.991.853.580.532.7213428.920.483.934.280.953.12482.730.335.91625.942.8—
APODAReference=[Yang et al., 2020]2020.0345.985.632.87929.525.526.834.619.983.740.677.959.228.384.634.649.2832.639.6—
CBSTReference=[Zou et al., 2018]2020.0345.991.853.580.532.7213428.920.483.934.280.953.12482.730.335.91625.942.8—
CBST2022.0445.991.853.580.532.7213428.920.483.934.280.953.12482.730.335.91625.942.8—
AdvEntReference=[Vu et al., 2019]2020.0345.589.433.18126.626.827.233.524.783.936.778.858.730.584.838.544.51.731.632.4—
MRNetReference=[Zheng and Yang, 2020]2020.0345.589.123.982.219.520.133.542.239.185.333.776.460.233.78636.143.35.922.830.8—
SSF-DANArch.=AT2020.0845.490.338.981.724.822.930.53721.284.838.876.958.830.785.730.638.15.928.336.9—
AdventArch.=AT2020.0845.489.433.18126.626.827.233.524.783.936.778.858.730.584.838.544.51.731.632.4—
MR-DCoTDomain Adaptation=Zero-shot, Source=GTA52026.0743.96————————————————————
MR-DCoTZero-shot=true2026.0743.96————————————————————
CLANReference=[Luo et al., 2019b]2020.0343.28727.179.627.323.328.335.524.283.627.474.258.62876.233.136.76.731.931.4—
SIBANReference=[Luo et al., 2019a]2020.0342.688.535.479.526.324.328.532.518.381.24076.558.125.882.630.334.43.421.621.5—
AdaptSegNetArch.=AT2020.0842.486.53679.923.423.323.935.214.883.433.375.658.527.673.732.535.43.930.128.1—
AdaptSegNetReference=[Tsai et al., 2018]2020.0342.486.53679.923.423.323.935.214.883.433.375.658.527.673.732.535.43.930.128.1—
ULDADomain Adaptation=Zero-shot, Source=GTA52026.0741.73————————————————————
ULDAZero-shot=true2026.0741.73————————————————————
PØDADomain Adaptation=Zero-shot, Source=GTA52026.0740.02————————————————————
PØDAZero-shot=true2026.0740.02————————————————————
SourceSetup=Group 4 Baseline2020.0337.251.118.375.818.816.834.736.327.28023.364.959.219.374.626.713.80.132.434—
SourceArch.=AT2020.0836.675.816.877.212.52125.530.120.181.324.670.353.826.449.917.225.96.525.336—
SourceSetup=Group 1 Baseline2020.0336.675.816.877.212.52125.530.120.181.324.670.353.826.449.917.225.96.525.336—
Source-onlyDomain Adaptation=Zero-shot, Source=GTA52026.0736.38————————————————————
Source-onlyZero-shot=true2026.0736.38————————————————————
Source(ours)Arch.=A&S2020.0835.664.821.774.315.421.218.230.71380.933.776.355.62043.92735.54.424.914.3—
SourceArch.=ST2020.0833.871.319.269.118.41035.727.36.879.624.872.157.619.555.515.515.111.721.112—
SourceSetup=Group 3 Baseline2020.0333.871.319.269.118.41035.727.36.879.624.872.157.619.555.515.515.111.721.112—
CLIPstylerDomain Adaptation=Zero-shot, Source=GTA52026.0732.4————————————————————
CLIPstylerZero-shot=true2026.0732.4————————————————————
SourceSetup=Group 2 Baseline2020.0329.2————————————————————