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Semantic Segmentation on Cityscapes (val) (Class IoUs and mIoU)

93.3Road IoUCorDA
54.09264.27174.4584.629Apr 19, 2022

Evaluation results

MethodLinks
CorDAArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0493.361.685.319.65.137.836.642.884.990.469.741.885.638.432.653.95562.8
LTIRArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0492.653.279.2———1.67.578.684.452.62082.134.814.639.4—49.3
MetaCorrectionArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0492.652.781.38.92.428.1137.383.58560.119.784.837.221.543.945.152.5
PixMatchArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0492.554.679.84.780.0824.122.817.879.476.560.824.785.733.526.454.446.154.5
SACArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0489.347.285.526.51.34345.53287.189.363.625.486.935.630.45352.659.3
ConDAArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0488.146.781.110.61.131.322.619.681.384.353.921.779.842.924.246.84653.3
ProDAArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0487.845.784.637.10.64454.63788.184.474.224.388.251.140.545.655.562
Seg-Uncert.Architecture=DeepLab-V2, Backbone=ResNet-1012022.0487.641.983.114.71.736.231.319.981.680.66321.886.240.723.653.147.954.9
DPL-DualArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0487.545.782.813.30.633.22220.183.18656.621.983.140.329.845.74754.2
CaCoArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0487.448.979.68.80.230.117.428.379.981.256.324.278.639.228.148.34653.6
BDLArchitecture=DeepLab-V2, Backbone=ResNet-1012022.048646.780.3———14.111.679.281.354.127.973.742.225.745.3—51.4
CAG-UDAArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0484.740.881.77.8035.113.322.784.577.664.227.880.919.722.748.344.5—
FADAArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0484.540.183.14.8034.320.127.284.88453.522.685.443.726.827.845.252.5
SIMArchitecture=DeepLab-V2, Backbone=ResNet-1012022.04834480.3———17.115.880.581.859.933.170.237.328.545.8—52.1
CLANArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0482.737.281.5———17.713.181.283.355.522.176.630.123.530.7—48.8
PLCAArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0482.6298111.20.233.624.918.382.882.362.126.585.648.926.852.246.854
KATPANArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0482.340.883.719.21.834.629.532.782.983.467.332.886.141.233.552.150.257.6
IASTArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0481.941.583.317.74.632.330.928.883.48565.530.886.538.233.152.749.857
DACSArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0480.625.181.921.52.937.222.72483.790.867.638.382.938.928.547.648.354.8
UPLRArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0479.434.683.519.32.835.332.126.978.879.666.630.386.136.619.556.94854.6
FDA-MBTArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0479.33573.2———19.92461.782.661.431.183.940.838.451.1—52.5
AdaptSegArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0479.237.278.810.50.325.19.910.578.280.553.519.66729.521.631.339.545.9
SePiCo (ProtoCL)Architecture=DeepLab-V2, Backbone=ResNet-1012022.0479.242.985.69.94.23852.553.380.681.273.747.486.263.14863.256.865.9
SePiCo (DistCL)Architecture=DeepLab-V2, Backbone=ResNet-1012022.047735.385.123.93.4385155.185.680.573.546.387.669.750.966.558.166.5
SePiCo (BankCL)Architecture=DeepLab-V2, Backbone=ResNet-1012022.0476.734.384.918.72.938.451.855.68584.673.24589.763.750.563.857.466.1
CTFArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0475.73081.911.52.535.31832.786.290.165.133.283.336.535.354.348.255.5
CBSTArchitecture=DeepLab-V2, Backbone=ResNet-1012022.046829.976.310.81.433.922.829.577.678.360.628.381.623.518.839.842.648.9
MRKLDArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0467.732.273.910.71.637.422.231.280.880.560.829.182.82519.445.343.850.1
Source OnlyArchitecture=DeepLab-V2, Backbone=ResNet-1012022.0455.623.874.69.20.224.46.112.174.87955.319.139.623.313.72533.538.6