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Semantic Segmentation on GTA → Cityscapes (test)

97.5Road IoUDepth-aware Framework (DCF+AFO)
85.12488.33791.5594.763Nov 21, 2023

Evaluation results

MethodLinks
Depth-aware Framework (DCF+AFO)Training with depth data=true2023.1197.580.792.166.462.363.167.775.791.852.493.981.661.894.788.39081.265.869.677.7
MICTraining with depth data=false2023.1197.480.191.761.256.959.76671.391.751.494.379.856.194.685.490.380.464.568.575.9
HRDATraining with depth data=false2023.1196.474.49161.651.557.163.969.391.348.494.27952.993.984.185.775.963.967.573.8
CAMixTraining with depth data=false2023.119673.189.553.950.851.758.764.99051.292.271.84492.878.782.370.954.164.370
DAFormerTraining with depth data=false2023.1195.770.289.453.548.149.655.859.489.947.992.572.244.792.374.578.265.155.961.868.3
CorDATraining with depth data=true2023.1194.763.187.630.740.640.247.851.687.64789.766.735.990.248.957.5039.85656.6
BAPATraining with depth data=false2023.1194.4618826.839.938.346.155.387.846.189.468.84090.260.459045.154.257.4
DBSTTraining with depth data=true2023.1194.36087.950.54342.650.851.38845.989.768.941.88845.863.805055.858.8
CaCoTraining with depth data=false2023.1193.864.185.743.742.246.150.15488.74786.568.12.98843.460.131.546.160.958
FAFSTraining with depth data=true2023.1193.460.78843.532.140.354.35388.244.59069.535.888.734.153.941.351.754.758.8
FDATraining with depth data=false2023.1192.553.382.426.527.636.440.638.982.339.87862.634.484.934.153.116.927.746.450.5
CBSTTraining with depth data=false2023.1191.853.580.532.7213428.920.483.934.280.953.12482.730.335.91625.942.845.9
MRKLDTraining with depth data=false2023.119155.48033.721.437.332.924.58534.180.857.724.684.127.830.126.92642.347.1
FADATraining with depth data=false2023.119150.68643.429.836.843.42586.838.387.4643885.231.646.16.525.437.150.1
AdaboostTraining with depth data=false2023.1190.735.985.740.127.8394948.485.935.185.163.134.486.838.349.50.226.545.350.9
UncertaintyTraining with depth data=false2023.1190.431.285.136.925.637.548.848.585.334.881.164.436.886.334.952.21.72944.650.3
DACSTraining with depth data=false2023.1189.939.787.930.739.538.546.452.8884488.867.235.884.545.750.2027.33452.1
AdvEntTraining with depth data=false2023.1189.433.18126.626.827.233.524.783.936.778.858.730.584.838.544.51.731.632.445.5
ASATraining with depth data=false2023.1189.227.881.325.322.728.736.519.683.831.477.159.229.884.333.245.616.934.530.845.1
MRNetTraining with depth data=false2023.1189.123.982.219.520.133.542.239.185.333.776.460.233.78636.143.35.922.830.845.5
MaxSquareTraining with depth data=false2023.1188.127.780.828.719.824.93417.883.634.77658.628.684.137.843.17.232.334.244.3
ProDATraining with depth data=false2023.1187.85679.746.344.845.653.553.588.645.282.170.739.288.845.559.4148.956.457.5
CLANTraining with depth data=false2023.118727.179.627.323.328.335.524.283.627.474.258.62876.233.136.76.731.931.443.2
CyCADATraining with depth data=false2023.1186.735.680.119.817.53839.941.582.727.973.664.919651228.64.531.14242.7
AdaptSegNetTraining with depth data=false2023.1186.53679.923.423.323.935.214.883.433.375.658.527.673.732.535.43.930.128.142.4
SP-AdvTraining with depth data=false2023.1186.238.480.825.520.532.833.428.285.536.180.260.328.678.727.336.14.631.628.444.3
APODATraining with depth data=false2023.1185.632.87929.525.526.834.619.983.740.677.959.228.384.634.649.2832.639.645.9