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Semantic Segmentation on ACDC (val)

72.7mIoUHeuSCM
-2.4566417.0551836.56756.07882Aug 10, 2022Mar 18, 2023Oct 25, 2023Jun 1, 2024Jan 8, 2025Aug 16, 2025Mar 25, 2026

Evaluation results

MethodLinks
HeuSCMBackbone=HRDA2026.0372.795.377.98757.244.160.379.266.786.544.795.266.550.787.786.493.491.850.860.9————
ACSegFormerBackbone=HRDA2026.0372.695.577.187.556.945.859.579.466.286.342.995.36849.987.386.594.191.755.354.2————
CoDABackbone=HRDA2026.0372.493.372.688.359.648.263.376.666.285.940.294.471.348.590.583.691.591.753.656————
Causal-TuneBackbone Category=VFM-based, Training Source Domain=Cityscapes2025.1272———————————————————56.275.475.281.3
HALOBudget=5%, Backbone=SegFormer-B42023.0671.995.279.888.260.251.164.178.265.687.955.795.566.320.788.982.289.387.950.459————
SoMATraining Source=Cityscapes2024.1271.7———————————————————52.474.675.584.1
SETTraining Source=Cityscapes2024.1271.5———————————————————57.373.774.880.1
FADATraining Source=Cityscapes2024.1271.5———————————————————57.473.57580.2
SETBackbone Category=VFM-based, Training Source Domain=Cityscapes2025.1271.5———————————————————57.373.674.880.1
FADABackbone Category=VFM-based, Training Source Domain=Cityscapes2025.1271.5———————————————————57.473.57580.2
RefignBackbone=HRDA2026.0371.194.776.587.152.943.462.177.465.886.44495.364.542.487.985.590.489.847.756.3————
ReinBackbone Category=VFM-based, Training Source Domain=Cityscapes2025.1269.6———————————————————55.970.672.579.5
CISSBackbone=HRDA2026.0368.792.369.985.250.541.360.77661.273.141.282.467.54589.683.888.389.153.254.5————
VBLCBackbone=HRDA2026.0366.589.561.884.946.348.561.374.860.172.339.782.162.941.987.885.77687.448.252.6————
HALOBudget=5%, Backbone=DeepLab-v22023.0666.492.672.284.854.947.759.571.561.186.149.595.260.730.685.858.473.88241.653.2————
HGFormerBackbone Category=Transformer-based, Training Source Domain=Cityscapes2025.1265.8———————————————————52.768.67269.9
HeuSCMBackbone=DAFormer2026.0365.490.865.685.249.33858.670.855.785.442.495.15833.483.173.28187.744.445.5————
HRDABackbone=HRDA2026.0365.286.552.583.750.634.861.472.760.772.339.781.965.545.588.184.782.874.348.453.7————
RefignBackbone=DAFormer2026.036589.462.485.548.636.657.7715585.34195.157.333.182.973.682.58643.948.1————
CoPTBackbone=DAFormer2026.0364.855.471.779.157.747.262.960.565.27340.35168.946.683.182.790.888.247.858.6————
VBLCBackbone=DAFormer2026.0363.788.557.681.941.235.25872.857.571.739.382.162.236.287.182.686.684.141.644.9————
RIPUBudget=5%, Backbone=DeepLab-v22023.0663.592.772.584.753.144.856.769.158.985.946.995.357.224.384.561.459.47936.943.6————
HALOBudget=2.2%, Backbone=DeepLab-v22023.0663.292.671.384.551.343.153.567.257.685.149.594.557.228.684.153.37666.944.141.4————
RIPUBudget=2.2%, Backbone=DeepLab-v22023.0662.391.469.583.852.741.652.866.454.285.147.594.754.521.885.558.758.876.941.445.9————
Instance-WarpBackbone=DAFormer2026.0361.882.956.179.844.640.352.760.852.57238.47856.630.584.980.286.986.444.545.8————
HRDABackbone=MiT-B5 [66], Source Domain=Cityscapes, DGInStyle integration=true2023.1261———————————————————————
CMFormerTraining Source=Cityscapes2024.1260.9———————————————————33.764.367.677.8
CMFormerBackbone Category=Transformer-based, Training Source Domain=Cityscapes2025.1260.9———————————————————33.764.367.677.8
HRDABackbone=MiT-B5 [66], Source Domain=Cityscapes, DGInStyle integration=false2023.1259.7———————————————————————
DAFormerBackbone=MiT-B5 [66], Source Domain=Cityscapes, DGInStyle integration=true2023.1257.74———————————————————————
HeuSCMBackbone=DeepLabv22026.0356.192.769.18143.93442.865.948.881.635.693.347.324.979.455.555.56214.437.5————
RefignBackbone=DeepLab-v22026.0355.891.567.581.443.832.54366.450.182.13593.347.727.478.752.451.864.113.937.7————
DAFormerBackbone=DAFormer2026.0355.371.45079.142.133.155.5405072.235.468.254.317.58371.274.880.941.231.5————
Color-AugBackbone=MiT-B5 [66], Source Domain=Cityscapes, DGInStyle integration=true2023.1255.19———————————————————————
DAFormerBackbone=MiT-B5 [66], Source Domain=Cityscapes, DGInStyle integration=false2023.1255.15———————————————————————
Color-AugBackbone=MiT-B5 [66], Source Domain=Cityscapes, DGInStyle integration=false2023.1252.38———————————————————————
CMABackbone=DeepLab-v22026.0348.883.951.360.125.328.245.669.152.37930.179.251.523.577.443.43736.224.928.6————
ISWBackbone Category=Resnet-based, Training Source Domain=Cityscapes2025.1248.6———————————————————24.349.85664.3
ItenormBackbone Category=Resnet-based, Training Source Domain=Cityscapes2025.1246.9———————————————————23.849.950.163.3
IBNBackbone Category=Resnet-based, Training Source Domain=Cityscapes2025.1246.3———————————————————21.249.650.463.8
IWBackbone Category=Resnet-based, Training Source Domain=Cityscapes2025.1246.1———————————————————21.847.652.462.4
VBLCBackbone=DeepLab-v22026.03465042.573.634.526.34865.655.167.833.339.156.339.680.845.728.229.931.825.6————
Self-adaptationBackbone=ResNet-50, Architecture=DeepLabv1, Training Dataset=GTA2022.0839.6————————————————————39.6637.5441.61
DeepLab-v2Backbone=DeepLab-v22026.0334.669.515.352.4111225.448.239.668.324.26940.115.264.714.219.828.821.817.2————
ResNet-50 (Baseline)Backbone=ResNet-50, Architecture=DeepLabv1, Training Dataset=GTA2022.0826.03————————————————————24.6427.3226.12
VBLCtraining_source=Cityscapes2022.110.6370.8850.5760.8190.4120.3520.580.7280.5750.7170.3930.8210.6220.3620.8710.8260.8660.8410.4160.449————
SegFormertraining_source=Cityscapes2022.110.4340.6840.2570.640.2410.1860.4480.5450.4450.7320.3240.7560.4590.1720.7460.3850.3760.410.2420.197————
FAMixBackbone=RN50, Source Dataset=GTAV2023.11————————————————————14.9637.0938.6640.25
FAMixBackbone=RN101, Source Dataset=GTAV2023.11————————————————————19.8941.3840.9142.15
Pin the memoryBackbone=RN50, Source Dataset=GTAV2023.11————————————————————3.845.515.897.27
RobustNetBackbone=RN50, Source Dataset=GTAV2023.11————————————————————6.3229.9733.0232.56
SHADEBackbone=RN50, Source Dataset=GTAV2023.11————————————————————8.1830.3835.4436.87
SHADEBackbone=RN101, Source Dataset=GTAV, Full-data training=true2023.11————————————————————7.5832.4836.936.69
SiamDoGeBackbone=RN50, Source Dataset=GTAV2023.11————————————————————10.630.7135.8436.45
TLDRBackbone=RN50, Source Dataset=GTAV, Extra-data usage=true2023.11————————————————————13.1336.0238.8940.58
WildNetBackbone=RN50, Source Dataset=GTAV, Extra-data usage=true2023.11————————————————————8.2730.2936.3235.39