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Semantic Segmentation on SYNTHIA-to-Cityscapes 16 categories (val)

80.5mIoU (Overall)SemiDAViL (Ours)
29.33242.61655.969.184Mar 30, 2023Jul 31, 2023Dec 1, 2023Apr 3, 2024Aug 4, 2024Dec 5, 2024Apr 8, 2025

Evaluation results

MethodLinks
SemiDAViL (Ours)Labeled Target Samples=2975, Learning Paradigm=SSDA2025.0480.5—————————————————
ALFSALabeled Target Samples=2975, Learning Paradigm=SSDA2025.0479.9—————————————————
SemiDAViL (Ours)Labeled Target Samples=1000, Learning Paradigm=SSDA2025.0479.7—————————————————
SemiDAViL (Ours w/o DyCE)Labeled Target Samples=2975, Learning Paradigm=SSDA2025.0479.6—————————————————
IIDMLabeled Target Samples=2975, Learning Paradigm=SSDA2025.0479.2—————————————————
SemiDAViL (Ours w/o DyCE)Labeled Target Samples=1000, Learning Paradigm=SSDA2025.0479.2—————————————————
ALFSALabeled Target Samples=1000, Learning Paradigm=SSDA2025.0479—————————————————
IIDMLabeled Target Samples=1000, Learning Paradigm=SSDA2025.0478.8—————————————————
SemiDAViL (Ours)Labeled Target Samples=500, Learning Paradigm=SSDA2025.0478.6—————————————————
SemiDAViL (Ours w/o DyCE)Labeled Target Samples=500, Learning Paradigm=SSDA2025.0477.7—————————————————
ALFSALabeled Target Samples=500, Learning Paradigm=SSDA2025.0477.5—————————————————
SemiDAViL (Ours)Labeled Target Samples=200, Learning Paradigm=SSDA2025.0477.2—————————————————
ASSLabeled Target Samples=2975, Learning Paradigm=SSDA2025.0477.1—————————————————
S-DepthLabeled Target Samples=2975, Learning Paradigm=SSDA2025.0477.1—————————————————
IIDMLabeled Target Samples=500, Learning Paradigm=SSDA2025.0477—————————————————
SemiDAViL (Ours)Labeled Target Samples=100, Learning Paradigm=SSDA2025.0476.9—————————————————
SemiDAViL (Ours w/o DyCE)Labeled Target Samples=200, Learning Paradigm=SSDA2025.0476.8—————————————————
IIDMLabeled Target Samples=200, Learning Paradigm=SSDA2025.0476.4—————————————————
S-DepthLabeled Target Samples=1000, Learning Paradigm=SSDA2025.0476.3—————————————————
DusPerbLabeled Target Samples=1000, Learning Paradigm=SSL2025.0476.1—————————————————
ComplexMixLabeled Target Samples=2975, Learning Paradigm=SSDA2025.0475.6—————————————————
S-DepthLabeled Target Samples=500, Learning Paradigm=SSDA2025.0475.4—————————————————
SemiDAViL (Ours w/o DyCE)Labeled Target Samples=100, Learning Paradigm=SSDA2025.0474.9—————————————————
DACS++Labeled Target Samples=2975, Learning Paradigm=SSDA2025.0474.4—————————————————
DusPerbLabeled Target Samples=500, Learning Paradigm=SSL2025.0474.2—————————————————
IIDMLabeled Target Samples=100, Learning Paradigm=SSDA2025.0474.2—————————————————
SSDDALabeled Target Samples=1000, Learning Paradigm=SSDA2025.0474—————————————————
ALFSALabeled Target Samples=200, Learning Paradigm=SSDA2025.0473.5—————————————————
S-DepthLabeled Target Samples=200, Learning Paradigm=SSDA2025.0473.5—————————————————
ClassMixLabeled Target Samples=1000, Learning Paradigm=SSL2025.0473.1—————————————————
ASSLabeled Target Samples=1000, Learning Paradigm=SSDA2025.0473—————————————————
DACS++Labeled Target Samples=1000, Learning Paradigm=SSDA2025.0472.8—————————————————
SSDDALabeled Target Samples=500, Learning Paradigm=SSDA2025.0472.6—————————————————
S-DepthLabeled Target Samples=100, Learning Paradigm=SSDA2025.0472.4—————————————————
ClassMixLabeled Target Samples=500, Learning Paradigm=SSL2025.0472.3—————————————————
SSDDALabeled Target Samples=200, Learning Paradigm=SSDA2025.0471.8—————————————————
DusPerbLabeled Target Samples=200, Learning Paradigm=SSL2025.0471.4—————————————————
DACS++Labeled Target Samples=500, Learning Paradigm=SSDA2025.0471.3—————————————————
DeepLabV2Labeled Target Samples=2975, Learning Paradigm=Supervised2025.0470.8—————————————————
ComplexMixLabeled Target Samples=100, Learning Paradigm=SSDA2025.0470.6—————————————————
SSDDALabeled Target Samples=100, Learning Paradigm=SSDA2025.0470.6—————————————————
SemiDAViL (Ours)Labeled Target Samples=0, Learning Paradigm=UDA2025.0470.2—————————————————
ASSLabeled Target Samples=500, Learning Paradigm=SSDA2025.0469.8—————————————————
SemiDAViL (Ours w/o DyCE)Labeled Target Samples=0, Learning Paradigm=UDA2025.0469.5—————————————————
ALFSALabeled Target Samples=100, Learning Paradigm=SSDA2025.0468.9—————————————————
DusPerbLabeled Target Samples=100, Learning Paradigm=SSL2025.0468.4—————————————————
DLDMLabeled Target Samples=100, Learning Paradigm=SSDA2025.0468.4—————————————————
DIGALabeled Target Samples=0, Learning Paradigm=UDA2025.0467.9—————————————————
DACS++Labeled Target Samples=200, Learning Paradigm=SSDA2025.0467.7—————————————————
ClassMixLabeled Target Samples=200, Learning Paradigm=SSL2025.0467.6—————————————————
DeepLabV2Labeled Target Samples=1000, Learning Paradigm=Supervised2025.0467.5—————————————————
DACS++Labeled Target Samples=100, Learning Paradigm=SSDA2025.0464.9—————————————————
ASSLabeled Target Samples=200, Learning Paradigm=SSDA2025.0464.8—————————————————
SLALabeled Target Samples=100, Learning Paradigm=SSDA2025.0463.7—————————————————
ASSLabeled Target Samples=100, Learning Paradigm=SSDA2025.0462.1—————————————————
ProDALabeled Target Samples=0, Learning Paradigm=UDA2025.0462—————————————————
ClassMixLabeled Target Samples=100, Learning Paradigm=SSL2025.0461.4—————————————————
CowMixLabeled Target Samples=100, Learning Paradigm=SSL2025.0461.3—————————————————
DeepLabV2Labeled Target Samples=500, Learning Paradigm=Supervised2025.0461—————————————————
DMTLabeled Target Samples=100, Learning Paradigm=SSL2025.0459.7—————————————————
DeepLabV2Labeled Target Samples=200, Learning Paradigm=Supervised2025.0458.9—————————————————
DaFormerLabeled Target Samples=0, Learning Paradigm=UDA2025.0458.8—————————————————
DACSLabeled Target Samples=0, Learning Paradigm=UDA2025.0454.8—————————————————
CPSLSource-Free=false, Backbone=ResNet-1012023.0354.487.344.483.8250.442.947.532.486.583.369.629.189.452.142.654.161.7
DeepLabV2Labeled Target Samples=100, Learning Paradigm=Supervised2025.0453—————————————————
ProDASource-Free=false, Backbone=ResNet-1012023.0351.987.14483.226.90.74245.834.286.781.368.422.187.75031.438.658.5
C-SFDA (Ours)Source-Free=true, Backbone=ResNet-1012023.0344.6873979.512.21.832.220.424.379.582.251.524.578.731.521.347.951.3
HCLSource-Free=true, Backbone=ResNet-1012023.0343.580.934.976.76.60.236.120.128.279.183.155.625.678.832.724.132.750.2
C-SFDA (Online)Source-Free=true, Protocol=Online, Backbone=ResNet-1012023.034385.938.179.211.91.13217.122.979.789.446.62278.429.617.44649.5
CrCDASource-Free=false, Backbone=ResNet-1012023.0342.986.244.979.58.30.727.89.411.878.686.557.226.176.839.921.532.150
SFDASource-Free=true, Backbone=ResNet-1012023.0342.467.831.977.18.31.135.921.226.779.879.458.827.380.425.319.537.448.7
URSource-Free=true, Backbone=ResNet-1012023.0339.659.324.677141.831.518.33283.180.446.317.876.71718.534.645
AUGCO (Online)Source-Free=true, Protocol=Online, Backbone=ResNet-1012023.0339.274.832.179.250.129.4311.178.783.157.526.474.320.512.139.345.5
Source OnlySource-Free=false, Backbone=ResNet-1012023.0331.345.219.6726.70.124.35.57.874.481.957.317.33919.576.236.2