List your company
ResearchFormerly WizWand

Semantic Segmentation on Pascal VOC Priority protocol (1/4 labeled ratio)

86.4mIoUUniMatchV2-S + PrevMatch
71.902475.666279.4383.1938Oct 16, 2022Mar 30, 2023Sep 11, 2023Feb 24, 2024Aug 7, 2024Jan 19, 2025Jul 4, 2025
Updated 8mo ago

Evaluation results

MethodLinks
UniMatchV2-S + PrevMatchEncoder=DINOv2-S2024.0586.4
UniMatchV2-SEncoder=DINOv2-S2024.0585.9
SemiOVS (w/ PrevMatch)Encoder=R-1012025.0781.3
SemiOVS (w/ UniMatch)Encoder=R-1012025.0781
CorrMatchEncoder=R-1012025.0780.9
AllSparkEncoder=MiT-B52025.0780.9
CorrMatchEncoder=RN-1012024.0580.9
AllSparkEncoder=MiT-B52024.0580.9
PrevMatchEncoder=R-1012025.0780.8
UniMatch + PrevMatchEncoder=RN-1012024.0580.8
AugSegEncoder=R-1012025.0780.5
Dual TeacherEncoder=R-1012025.0780.5
Dual TeacherEncoder=RN-1012024.0580.5
UniMatchEncoder=R-1012025.0780.4
UniMatchEncoder=RN-1012024.0580.4
U2PL+Encoder=RN-1012024.0580.2
U2PLEncoder=R-1012025.0779.3
U2PLEncoder=RN-1012024.0579.3
FPL+AELBackbone=ResNet-1012022.1078.35
FPL+CPS w/ cutmixBackbone=ResNet-1012022.1078.3
AELBackbone=ResNet-1012022.1077.98
FixMatch + PrevMatchEncoder=RN-502024.0577.8
CPS w/ cutmixBackbone=ResNet-1012022.1077.68
FPL+CPS w/o cutmixBackbone=ResNet-1012022.1077.47
CPS w/o cutmixBackbone=ResNet-1012022.1077.14
FixMatchEncoder=RN-502024.0576.9
MTBackbone=ResNet-1012022.1076.62
FPL+AELBackbone=ResNet-502022.1076.61
Supervised BaselineEncoder=R-1012025.0776.5
CACBackbone=ResNet-1012022.1076.3
CCTBackbone=ResNet-1012022.1076.17
AELBackbone=ResNet-502022.1075.5
FPL+CPS w/ cutmixBackbone=ResNet-502022.1075.35
GCTBackbone=ResNet-1012022.1075.25
CPS w/ cutmixBackbone=ResNet-502022.1074.9
FPL+CPS w/o cutmixBackbone=ResNet-502022.1074.8
CutMix-SegBackbone=ResNet-1012022.1074.25
CPS w/o cutmixBackbone=ResNet-502022.1074.24
CACBackbone=ResNet-502022.1074
GCTBackbone=ResNet-502022.1073.45
CCTBackbone=ResNet-502022.1073.43
MTBackbone=ResNet-502022.1073.22
CutMix-SegBackbone=ResNet-502022.1072.46