List your company

Semantic Segmentation on GTA to Cityscapes

96.8Road IoUHRDA + PiPa
69.13676.31883.590.682Apr 19, 2022Aug 14, 2022Dec 9, 2022Apr 5, 2023Jul 31, 2023Nov 25, 2023Mar 22, 2024

Evaluation results

MethodLinks
HRDA + PiPaBackbone=SegFormer MiT-B52022.1196.876.391.66357.76065.472.691.751.894.879.756.494.485.988.478.963.567.275.6
HRDABackbone=ResNet-101, Framework=DeepLab-v2, Guidance Training=true2024.0396.57490.246.243.645.660.460.79046.989.576.84892.970.9674.453.965.864.4
MICBackbone=ResNet-101, Framework=DeepLab-v2, Guidance Training=false2024.0396.574.390.447.142.850.361.762.390.349.290.777.853.29366.2686.83860.664.2
HRDABackbone=SegFormer MiT-B52022.1196.474.49161.651.557.163.969.391.348.494.27952.993.984.185.775.963.967.573.8
HRDABackbone=ResNet-101, Framework=DeepLab-v2, Guidance Training=false2024.0396.273.189.743.239.947.5606089.947.190.275.94991.861.959.310.24765.363
DAFormer + PiPaBackbone=SegFormer MiT-B52022.1196.17290.356.65255.161.863.790.852.693.674.343.693.578.484.277.359.966.771.7
SePiCo (BankCL)Backbone=ResNet-101, Architecture=DeepLab-V22022.0496.172.188.643.142.443.75663.588.944.58972.745.791.161.759.6024.753.659.8
CAMixBackbone=SegFormer MiT-B52022.119673.189.553.950.851.758.764.99051.292.271.84492.878.782.370.954.164.370
DAFormerBackbone=SegFormer MiT-B52022.1195.770.289.453.548.149.655.859.489.947.992.572.244.792.374.578.265.155.961.868.3
DFormerBackbone=ResNet-101, Framework=DeepLab-v2, Guidance Training=false2024.0395.770.287.836.235.238.350.253.888.145.588.369.643.787.749.450.2024.948.356
SePiCo (ProtoCL)Backbone=ResNet-101, Architecture=DeepLab-V22022.0495.669.28940.838.644.356.364.488.346.588.673.147.690.758.953.85.422.443.858.8
MICBackbone=ResNet-101, Framework=DeepLab-v2, Guidance Training=true2024.0395.675.390.649.246.549.561.86190.348.690.876.951.392.968.372.124.958.368.467
DFormerBackbone=ResNet-101, Framework=DeepLab-v2, Guidance Training=true2024.0395.468.188.339.340.138.952.554.188.345.688.270.645.287.157.253.61.140.956.258.5
SePiCo (DistCL)Backbone=ResNet-101, Architecture=DeepLab-V22022.0495.267.888.741.438.443.455.563.288.646.488.373.14991.463.260.4045.26061
SePiCoBackbone=ResNet-101, Framework=DeepLab-v22024.0395.267.888.741.438.443.455.563.288.646.488.373.14991.463.260.4045.26061
CorDA2022.1194.763.187.630.740.640.247.851.687.64789.766.735.990.248.957.5039.85656.6
CorDABackbone=ResNet-101, Architecture=DeepLab-V22022.0494.763.187.630.740.640.247.851.687.64789.766.735.990.248.957.5039.85656.6
CorDABackbone=ResNet-101, Framework=DeepLab-v22024.0394.763.187.630.740.640.247.851.687.64789.766.735.990.248.957.5039.85656.6
BAPA2022.1194.4618826.839.938.346.155.387.846.189.468.84090.260.459045.154.257.4
DACSBackbone=ResNet-101, Framework=DeepLab-v2, Guidance Training=true2024.0394.462.887.635.738.43851.158.487.545.785.768.932.29056.262.4021.945.855.9
IASTBackbone=ResNet-101, Architecture=DeepLab-V22022.0494.158.885.439.729.225.143.134.284.834.688.762.730.387.642.350.324.735.240.252.2
IASTBackbone=ResNet-101, Framework=DeepLab-v22024.0394.158.885.439.729.225.143.134.284.834.688.762.730.387.642.350.324.735.240.252.2
CaCo2022.1193.864.185.743.742.246.150.15488.74786.568.132.98843.460.131.546.160.958
ConDABackbone=ResNet-101, Architecture=DeepLab-V22022.0493.556.985.338.626.134.336.929.985.340.688.358.130.385.839.851028.937.849.9
LTIRBackbone=ResNet-101, Architecture=DeepLab-V22022.0492.95585.334.231.134.940.73485.240.187.16131.182.532.342.90.336.446.150.2
MetaCorrectionBackbone=ResNet-101, Architecture=DeepLab-V22022.0492.858.186.239.733.136.34238.685.537.887.662.831.784.835.750.3236.84852.1
DPL-dualBackbone=ResNet-101, Architecture=DeepLab-V22022.0492.854.486.241.632.736.4493485.841.38663.234.287.239.344.518.742.643.153.3
DPL-dualBackbone=ResNet-101, Framework=DeepLab-v22024.0392.854.486.241.632.736.4493485.841.38663.234.287.239.344.518.742.643.153.3
FDA2022.1192.553.382.426.527.636.440.638.982.339.87862.634.484.934.153.116.927.746.450.5
FDA-MBTBackbone=ResNet-101, Architecture=DeepLab-V22022.0492.553.382.426.527.636.440.638.982.339.87862.634.484.934.153.116.927.746.450.5
CTFBackbone=ResNet-101, Architecture=DeepLab-V22022.0492.558.386.527.428.838.146.742.585.438.491.866.43787.840.752.444.641.75956.1
CTFBackbone=ResNet-101, Framework=DeepLab-v22024.0392.558.386.527.428.838.146.742.585.438.491.866.43787.840.752.444.641.75956.1
PatchAlign2022.1192.351.982.129.225.124.533.83382.432.882.258.627.284.333.446.32.229.532.346.5
CaCoBackbone=ResNet-101, Architecture=DeepLab-V22022.0491.954.382.731.72538.146.739.282.639.776.263.523.685.138.647.810.323.435.149.2
CBST2022.1191.853.580.532.7213428.920.483.934.280.953.12482.730.335.91625.942.845.9
CBSTBackbone=ResNet-101, Architecture=DeepLab-V22022.0491.853.580.532.7213428.920.483.934.280.953.12482.730.335.91625.942.845.9
PixMatchBackbone=ResNet-101, Architecture=DeepLab-V22022.0491.651.284.737.329.124.631.337.286.544.385.362.822.687.638.952.30.737.25050.3
MRKLD2022.119155.48033.721.437.332.924.58534.180.857.724.684.127.830.126.92642.347.1
BL2022.119144.784.234.627.630.236368543.68358.631.683.335.349.73.328.835.648.5
FADA2022.119150.68643.429.836.843.42586.838.387.4643885.231.646.16.525.437.150.1
MRKLDBackbone=ResNet-101, Architecture=DeepLab-V22022.049155.48033.721.437.332.924.58534.180.857.724.684.127.830.126.92642.347.1
BDLBackbone=ResNet-101, Architecture=DeepLab-V22022.049144.784.234.627.630.236368543.68358.631.683.335.349.73.328.835.648.5
FADABackbone=ResNet-101, Architecture=DeepLab-V22022.049150.68643.429.836.843.42586.838.387.4643885.231.646.16.525.437.150.1
KATPANBackbone=ResNet-101, Architecture=DeepLab-V22022.0490.849.885.139.528.430.543.134.784.938.984.762.631.685.138.751.826.235.442.651.8
Adaboost2022.1190.735.985.740.127.8394948.485.935.185.163.134.486.838.349.50.226.545.350.9
DT2022.1190.644.784.834.328.731.63537.684.743.385.35731.583.842.648.51.930.43949.2
SIMBackbone=ResNet-101, Architecture=DeepLab-V22022.0490.644.784.834.328.731.63537.684.743.385.35731.583.842.648.51.930.43949.2
UPLRBackbone=ResNet-101, Architecture=DeepLab-V22022.0490.538.786.541.132.940.548.242.186.536.884.264.538.187.234.850.40.241.854.652.6
UPLRBackbone=ResNet-101, Framework=DeepLab-v22024.0390.538.786.541.132.940.548.242.186.536.884.264.538.187.234.850.40.241.854.652.6
Uncertainty2022.1190.431.285.136.925.637.548.848.585.334.881.164.436.886.334.952.21.72944.650.3
CAG-UDABackbone=ResNet-101, Architecture=DeepLab-V22022.0490.451.683.834.227.838.425.348.485.438.278.158.634.684.721.942.741.129.337.250.2
Seg-Uncert.Backbone=ResNet-101, Architecture=DeepLab-V22022.0490.431.285.136.925.637.548.848.585.334.881.164.436.886.334.952.21.72944.650.3
SACBackbone=ResNet-101, Architecture=DeepLab-V22022.0490.453.986.642.427.345.148.542.787.440.186.167.529.788.549.154.69.826.645.353.8
SACBackbone=ResNet-101, Framework=DeepLab-v22024.0390.453.986.642.427.345.148.542.787.440.186.167.529.788.549.154.69.826.645.353.8
DACS2022.1189.939.787.930.739.538.546.452.8884488.867.235.884.545.750.2027.33452.1
DACSBackbone=ResNet-101, Architecture=DeepLab-V22022.0489.939.787.930.739.538.546.452.8884488.867.235.884.545.750.2027.33452.1
DACSBackbone=ResNet-101, Framework=DeepLab-v2, Guidance Training=false2024.0389.939.787.930.739.538.546.452.8884488.867.235.884.545.750.2027.33452.1
AdvEnt2022.1189.433.18126.626.827.233.524.783.936.778.858.730.584.838.544.51.731.632.445.5
ASA2022.1189.227.881.325.322.728.736.519.683.831.477.159.229.884.333.245.616.934.530.845.1
MRNet2022.1189.123.982.219.520.133.542.239.185.333.776.460.233.78636.143.35.922.830.845.5
CLANBackbone=ResNet-101, Architecture=DeepLab-V22022.0488.735.580.327.52529.336.428.184.53776.658.429.781.238.840.95.632.928.845.5
MaxSquare2022.1188.127.780.828.719.824.93417.883.634.77658.628.684.137.843.17.232.334.244.3
ProDA2022.1187.85679.746.344.845.653.553.588.645.282.170.739.288.845.559.4148.956.457.5
ProDABackbone=ResNet-101, Architecture=DeepLab-V22022.0487.85679.746.344.845.653.553.588.645.282.170.739.288.845.559.4148.956.457.5
ProDABackbone=ResNet-101, Framework=DeepLab-v22024.0387.85679.746.344.845.653.553.588.645.282.170.739.288.845.559.4148.956.457.5
CLAN2022.118727.179.627.323.328.335.524.283.627.474.258.62876.233.136.76.731.931.443.2
CyCADA2022.1186.735.680.119.817.53839.941.582.727.973.664.919651228.64.531.14242.7
AdaptSegNet2022.1186.53679.923.423.323.935.214.883.433.375.658.527.673.732.535.43.930.128.142.4
AdaptSegBackbone=ResNet-101, Architecture=DeepLab-V22022.0486.53679.923.423.323.935.214.883.433.375.658.527.673.732.535.43.930.128.142.4
APODA2022.1185.632.87929.525.526.834.619.983.740.677.959.228.384.634.649.2832.639.645.9
PLCABackbone=ResNet-101, Architecture=DeepLab-V22022.048430.482.435.324.832.236.824.585.537.278.666.932.885.540.4488.829.841.847.7
Source OnlyBackbone=ResNet-101, Architecture=DeepLab-V22022.0470.214.671.324.115.325.532.113.582.925.17856.233.376.326.629.812.328.51838.6