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Semantic Segmentation on SYNTHIA to Cityscapes 16 classes (test)

70.43mIoUMTL target
13.115627.995342.87557.7547May 17, 2021Jul 22, 2021Sep 26, 2021Dec 1, 2021Feb 5, 2022Apr 12, 2022Jun 17, 2022

Evaluation results

MethodLinks
MTL targetArchitecture=Multi-Task Learning, Strategy=Oracle (Target Labels)2022.0670.43———————————————————————
STL targetArchitecture=Single-Task Learning, Strategy=Oracle (Target Labels)2022.0667.93———————————————————————
Ours (best mIoU)Depth=true, Protocol=EP12021.0544.988.139.181.819.60.730.27.713.882.48360.22281.747.624.83551.3——————
Ours (confidence)Depth=true, Protocol=EP1, Note=mean over five runs2021.0544.385.540.68016.50.7328.57.211.780.782.460.222.279.147.22640.651——————
DADADepth=true, Protocol=EP12021.0542.689.244.881.46.80.326.28.611.181.88454.719.379.740.71438.849.8——————
AdventDepth=false, Protocol=EP12021.0540.88744.179.79.60.624.34.87.280.183.656.423.772.732.612.833.747.6——————
mTEB (Ours)Architecture=Multi-Task Learning with mTEB, Strategy=Unsupervised Domain Adaptation2022.0637.93———————————————————————
STL-UDAArchitecture=Single-Task Learning, Strategy=Unsupervised Domain Adaptation2022.0637.55———————————————————————
SPIGANDepth=true, Protocol=EP12021.0536.871.129.871.43.70.333.26.415.681.278.952.713.175.925.51020.542.4——————
SPIGAN-no-PIDepth=false, Protocol=EP12021.0535.869.529.468.74.40.332.45.8158178.752.213.172.823.67.918.741.2——————
STL sourceArchitecture=Single-Task Learning, Strategy=Source only2022.0635.63———————————————————————
MTL-UDAArchitecture=Multi-Task Learning, Strategy=Unsupervised Domain Adaptation2022.0616.71———————————————————————
MTL sourceArchitecture=Multi-Task Learning, Strategy=Source only2022.0615.32———————————————————————
AdaptPatchDepth=false, Protocol=EP12021.05—82.239.479.4——6.5—10.877.88254.921.167.730.717.832.246.3——————
AdaptSegBackbone=VGG-16, Segmentation Model=FCN-8s2021.10——————————————————1720.521.621.62020.2
AdaptSegnetDepth=false, Protocol=EP12021.05—79.237.278.8——9.9—10.578.280.553.519.66729.521.631.345.9——————
AdventBackbone=VGG-16, Segmentation Model=FCN-8s2021.10——————————————————17.719.920.220.519.319.6
CBSTBackbone=VGG-16, Segmentation Model=FCN-8s2021.10——————————————————16.219.620.120.318.919.1
CLANDepth=false, Protocol=EP12021.05—81.33780.1——16.113.778.281.553.421.27332.922.630.7—47.8——————
CRSTBackbone=VGG-16, Segmentation Model=FCN-8s2021.10——————————————————16.319.920.320.519.119.3
DHABackbone=VGG-16, Segmentation Model=FCN-8s2021.10——————————————————18.821.223.623.621.521.8
Source OnlyBackbone=VGG-16, Segmentation Model=FCN-8s2021.10——————————————————16.318.819.419.518.418.5