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Semantic Segmentation on SYNTHIA to Cityscapes 16 and 13 categories (val)

91.2RoadASA
42.11254.85667.680.344Mar 29, 2021

Evaluation results

MethodLinks
ASABackbone=ResNet-101, Architecture=DeepLab-v22021.0391.248.580.43.70.321.75.55.279.583.656.42180.336.22032.949.3
DADABackbone=ResNet-101, Architecture=DeepLab-v22021.0389.244.881.46.80.326.28.611.181.88454.719.379.740.71438.849.8
UncertaintyBackbone=ResNet-101, Architecture=DeepLab-v22021.0387.641.983.114.71.736.231.319.981.680.66321.886.240.723.653.154.9
APODABackbone=ResNet-101, Architecture=DeepLab-v22021.0386.441.379.3———22.617.380.381.656.92184.149.124.645.753.1
BLBackbone=ResNet-101, Architecture=DeepLab-v22021.038646.780.3———14.111.679.281.354.127.973.742.225.745.351.4
AdvEntBackbone=ResNet-101, Architecture=DeepLab-v22021.0385.642.279.78.70.425.95.48.180.484.157.923.873.336.414.23348
Uncertainty + AdaBoost StudentBackbone=ResNet-101, Architecture=DeepLab-v22021.0385.643.983.919.21.73837.919.685.588.464.125.786.643.931.251.357.5
SP-AdvBackbone=ResNet-101, Architecture=DeepLab-v22021.0384.835.878.6———6.215.680.58266.522.774.334.119.227.348.3
AdaptSegNetBackbone=ResNet-101, Architecture=DeepLab-v22021.0384.342.777.5———4.7777.982.554.32172.332.218.932.346.7
MRNet + AdaBoost StudentBackbone=ResNet-101, Architecture=DeepLab-v22021.0383.640.181.39.60.836.825.816.384.587.160.323.984.932.31948.452.9
DTBackbone=ResNet-101, Architecture=DeepLab-v22021.03834480.3———17.115.880.581.859.933.170.237.328.545.852.1
SIBANBackbone=ResNet-101, Architecture=DeepLab-v22021.0382.52479.4———16.512.779.282.858.31879.325.317.625.946.3
PatchAlignBackbone=ResNet-101, Architecture=DeepLab-v22021.0382.43878.68.70.6263.911.175.584.653.521.671.432.619.331.746.5
MRNetBackbone=ResNet-101, Architecture=DeepLab-v22021.038236.580.44.20.433.71813.481.180.861.321.784.432.414.845.750.2
CLANBackbone=ResNet-101, Architecture=DeepLab-v22021.0381.33780.1———16.113.778.281.553.421.27332.922.630.747.8
CCMBackbone=ResNet-101, Architecture=DeepLab-v22021.0379.636.480.613.30.325.522.414.981.877.456.825.980.745.329.95252.9
MaxSquareBackbone=ResNet-101, Architecture=DeepLab-v22021.0377.43478.75.60.227.75.89.880.783.258.520.574.132.11129.945.8
CBSTBackbone=ResNet-101, Architecture=DeepLab-v22021.036829.976.310.81.433.922.829.577.678.360.628.381.623.518.839.848.9
AdaptSegNet + AdaBoost StudentBackbone=ResNet-101, Architecture=DeepLab-v22021.0367.930.177.910.21.537.230.922.380.883.152.420.972.925.412.745.747.9
MRKLDBackbone=ResNet-101, Architecture=DeepLab-v22021.0367.732.273.910.71.637.422.231.280.880.560.829.182.82519.445.350.1
Source (Baseline 2)Backbone=ResNet-101, Architecture=DeepLab-v22021.0364.321.373.12.41.131.4727.763.167.642.219.973.115.310.538.940.3
SourceBackbone=ResNet-101, Architecture=DeepLab-v22021.0355.623.874.6———6.112.174.87955.319.139.623.313.72538.6
Source (Baseline 3)Backbone=ResNet-101, Architecture=DeepLab-v22021.034419.370.98.70.828.216.116.779.881.457.819.246.917.21243.840.4