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ResearchFormerly WizWand

Semantic Segmentation on Pascal VOC augmented 2012 (val)

81.11mIoUCutMix-Seg + S4MC
71.28273.833576.38578.9365Jun 9, 2021Oct 30, 2021Mar 22, 2022Aug 12, 2022Jan 2, 2023May 25, 2023Oct 16, 2023
Updated 8mo ago

Evaluation results

MethodLinks
CutMix-Seg + S4MCBackbone=ResNet-101, Partition Ratio=1/2, Number of labeled images=52912023.0881.11
GTA-SegNumber of labeled samples=5291, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0181.01
PCRBackbone=ResNet-101, Partition Ratio=1/2, Number of labeled images=52912023.0880.91
PCRBackbone=ResNet-101, Partition Ratio=1/4, Number of labeled images=26462023.0880.78
PCRBackbone=ResNet-101, Partition Ratio=1/8, Number of labeled images=13232023.0880.71
GTA-SegNumber of labeled samples=2645, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0180.57
U2PLBackbone=ResNet-101, Partition Ratio=1/2, Number of labeled images=52912023.0880.5
GTA-SegNumber of labeled samples=1323, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0180.47
AELNumber of labeled samples=5291, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0180.29
AELBackbone=ResNet-101, Partition Ratio=1/2, Number of labeled images=52912023.0880.29
CutMix-Seg + S4MCBackbone=ResNet-101, Partition Ratio=1/4, Number of labeled images=26462023.0879.85
CutMix-Seg + S4MCBackbone=ResNet-101, Partition Ratio=1/8, Number of labeled images=13232023.0879.67
U2PLBackbone=ResNet-101, Partition Ratio=1/4, Number of labeled images=26462023.0879.3
U2PLBackbone=ResNet-101, Partition Ratio=1/8, Number of labeled images=13232023.0879.01
CutMix-Seg + S4MCBackbone=ResNet-101, Partition Ratio=1/16, Number of labeled images=6622023.0878.84
PS-MTBackbone=ResNet-101, Partition Ratio=1/4, Number of labeled images=26462023.0878.7
CPSNumber of labeled samples=5291, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0178.64
PCRBackbone=ResNet-101, Partition Ratio=1/16, Number of labeled images=6622023.0878.6
CutMixNumber of labeled samples=5291, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0178.21
CutMix-SegBackbone=ResNet-101, Partition Ratio=1/2, Number of labeled images=52912023.0878.21
PS-MTBackbone=ResNet-101, Partition Ratio=1/8, Number of labeled images=13232023.0878.2
UniMatch* + S4MCBackbone=ResNet-101, Partition Ratio=1/2, Number of labeled images=52912023.0878.08
FixMatch + S4MCBackbone=ResNet-101, Partition Ratio=1/2, Number of labeled images=52912023.0878.07
AELNumber of labeled samples=2645, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0178.06
AELBackbone=ResNet-101, Partition Ratio=1/4, Number of labeled images=26462023.0878.06
GCTNumber of labeled samples=5291, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0177.98
UniMatch*Backbone=ResNet-101, Partition Ratio=1/2, Number of labeled images=52912023.0877.9
GTA-SegNumber of labeled samples=662, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0177.82
CPSNumber of labeled samples=2645, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0177.68
UniMatch* + S4MCBackbone=ResNet-101, Partition Ratio=1/4, Number of labeled images=26462023.0877.62
AELNumber of labeled samples=1323, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0177.57
AELBackbone=ResNet-101, Partition Ratio=1/8, Number of labeled images=13232023.0877.57
UniMatch* + S4MCBackbone=ResNet-101, Partition Ratio=1/8, Number of labeled images=13232023.0877.54
FixMatch*Backbone=ResNet-101, Partition Ratio=1/2, Number of labeled images=52912023.0877.46
CCTNumber of labeled samples=5291, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0177.4
CutMixNumber of labeled samples=2645, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0177.33
CutMix-SegBackbone=ResNet-101, Partition Ratio=1/4, Number of labeled images=26462023.0877.33
UniMatch*Backbone=ResNet-101, Partition Ratio=1/4, Number of labeled images=26462023.0877.32
U2PLBackbone=ResNet-101, Partition Ratio=1/16, Number of labeled images=6622023.0877.21
AELNumber of labeled samples=662, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0177.2
AELBackbone=ResNet-101, Partition Ratio=1/16, Number of labeled images=6622023.0877.2
FixMatch + S4MCBackbone=ResNet-101, Partition Ratio=1/4, Number of labeled images=26462023.0877.11
UniMatch*Backbone=ResNet-101, Partition Ratio=1/8, Number of labeled images=13232023.0877
UniMatch* + S4MCBackbone=ResNet-101, Partition Ratio=1/16, Number of labeled images=6622023.0876.95
FixMatch*Backbone=ResNet-101, Partition Ratio=1/4, Number of labeled images=26462023.0876.87
GCTNumber of labeled samples=2645, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0176.66
ST++Network=DeepLabv3+, Backbone=ResNet-101, Labeled fraction=1/4, Labeled images=26452021.0676.6
AProBackbone=LTF, Supervision=Scribble, CRF Post.=false2023.1076.6
UniMatch*Backbone=ResNet-101, Partition Ratio=1/16, Number of labeled images=6622023.0876.6
MTNumber of labeled samples=5291, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0176.58
FixMatch + S4MCBackbone=ResNet-101, Partition Ratio=1/8, Number of labeled images=13232023.0876.56
CCTNumber of labeled samples=2645, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0176.51
CPSNumber of labeled samples=1323, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0176.44
STNetwork=DeepLabv3+, Backbone=ResNet-101, Labeled fraction=1/4, Labeled images=26452021.0676.4
FixMatch*Backbone=ResNet-101, Partition Ratio=1/8, Number of labeled images=13232023.0876.33
DCCNetwork=DeepLabv3+, Backbone=ResNet-101, Labeled fraction=1/4, Labeled images=26452021.0676.3
ST++Network=DeepLabv3+, Backbone=ResNet-101, Labeled fraction=1/8, Labeled images=13232021.0676.3
TELBackbone=LTF, Supervision=Scribble, CRF Post.=false, Note=re-implementation2023.1076.2
STNetwork=DeepLabv3+, Backbone=ResNet-101, Labeled fraction=1/8, Labeled images=13232021.0675.7
CutMixNumber of labeled samples=1323, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0175.51
CutMix-SegBackbone=ResNet-101, Partition Ratio=1/8, Number of labeled images=13232023.0875.51
PS-MTBackbone=ResNet-101, Partition Ratio=1/16, Number of labeled images=6622023.0875.5
ST++Network=DeepLabv3+, Backbone=ResNet-50, Labeled fraction=1/4, Labeled images=26452021.0675.4
FixMatch + S4MCBackbone=ResNet-101, Partition Ratio=1/16, Number of labeled images=6622023.0875.19
GCTNetwork=DeepLabv3+, Backbone=ResNet-101, Labeled fraction=1/4, Labeled images=26452021.0675.1
STNetwork=DeepLabv3+, Backbone=ResNet-50, Labeled fraction=1/4, Labeled images=26452021.0675
DenseCRF LossBackbone=DeepLabV2, Supervision=Scribble, CRF Post.=true2023.1075
KernelCut LossBackbone=DeepLabV2, Supervision=Scribble, CRF Post.=true2023.1075
PSIBackbone=DeepLabV3, Supervision=Scribble, CRF Post.=false2023.1074.9
DCCNetwork=DeepLabv3+, Backbone=ResNet-101, Labeled fraction=1/8, Labeled images=13232021.0674.6
S4GANNetwork=DeepLabv3+, Backbone=ResNet-101, Labeled fraction=1/4, Labeled images=26452021.0674.5
ST++Network=DeepLabv3+, Backbone=ResNet-101, Labeled fraction=1/16, Labeled images=6622021.0674.5
NormCut LossBackbone=DeepLabV2, Supervision=Scribble, CRF Post.=true2023.1074.5
CPSNumber of labeled samples=662, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0174.48
ST++Network=DeepLabv3+, Backbone=ResNet-50, Labeled fraction=1/8, Labeled images=13232021.0674.4
FixMatch*Backbone=ResNet-101, Partition Ratio=1/16, Number of labeled images=6622023.0874.35
DCCNetwork=DeepLabv3+, Backbone=ResNet-50, Labeled fraction=1/4, Labeled images=26452021.0674
CCTNumber of labeled samples=1323, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0173.68
ST++Network=PSPNet, Backbone=ResNet-50, Labeled fraction=1/4, Labeled images=26452021.0673.4
STNetwork=DeepLabv3+, Backbone=ResNet-50, Labeled fraction=1/8, Labeled images=13232021.0673.3
GCTNumber of labeled samples=1323, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0173.29
STNetwork=PSPNet, Backbone=ResNet-50, Labeled fraction=1/4, Labeled images=26452021.0673.2
ST++Network=PSPNet, Backbone=ResNet-50, Labeled fraction=1/8, Labeled images=13232021.0673.2
SupOnlyNetwork=DeepLabv3+, Backbone=ResNet-101, Labeled fraction=1/4, Labeled images=26452021.0673.1
MTNumber of labeled samples=2645, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0173.02
STNetwork=PSPNet, Backbone=ResNet-50, Labeled fraction=1/8, Labeled images=13232021.0673
STNetwork=DeepLabv3+, Backbone=ResNet-101, Labeled fraction=1/16, Labeled images=6622021.0672.9
ST++Network=DeepLabv2, Backbone=ResNet-101, Labeled fraction=1/4, Labeled images=26452021.0672.8
GridCRF LossBackbone=DeepLabV2, Supervision=Scribble, CRF Post.=false, Note=multi-stage training2023.1072.8
ECSNetwork=DeepLabv3+, Backbone=ResNet-50, Labeled fraction=1/4, Labeled images=26452021.0672.6
ST++Network=DeepLabv3+, Backbone=ResNet-50, Labeled fraction=1/16, Labeled images=6622021.0672.6
DCCNetwork=PSPNet, Backbone=ResNet-50, Labeled fraction=1/4, Labeled images=26452021.0672.5
STNetwork=DeepLabv2, Backbone=ResNet-101, Labeled fraction=1/4, Labeled images=26452021.0672.5
GCTNetwork=DeepLabv3+, Backbone=ResNet-101, Labeled fraction=1/8, Labeled images=13232021.0672.5
DCCNetwork=DeepLabv3+, Backbone=ResNet-50, Labeled fraction=1/8, Labeled images=13232021.0672.4
S4GANNetwork=DeepLabv3+, Backbone=ResNet-101, Labeled fraction=1/8, Labeled images=13232021.0672.4
DCCNetwork=DeepLabv3+, Backbone=ResNet-101, Labeled fraction=1/16, Labeled images=6622021.0672.4
ST++Network=DeepLabv2, Backbone=ResNet-101, Labeled fraction=1/8, Labeled images=13232021.0672
CCTNumber of labeled samples=662, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0171.86
CutMixNumber of labeled samples=662, Backbone=ResNet-101, Decoder=DeepLabv3+2023.0171.66