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Facial Landmark Detection on WFLW Illumination

1.58Failure Rate @0.1SPIGA
0.70926.587112.46518.3429Apr 17, 2020Sep 15, 2020Feb 14, 2021Jul 15, 2021Dec 14, 2021May 14, 2022Oct 13, 2022

Evaluation results

MethodLinks
SPIGABounding box source=GT landmarks (HRnet annotations)2022.101.58——461.31
SLPT2021.041.86—0.601——
SPLTBounding box source=GT landmarks (HRnet annotations)2022.101.86——4.0560.1
AWingBounding box source=GT landmarks (HRnet annotations)2022.102.01——4.2359.58
LUVLi2021.042.15—0.584——
SLPTLayers=122021.042.15—0.603——
LUVLIBounding box source=GT landmarks (HRnet annotations)2022.102.15——4.3—
HIHTBackbone=Hourglass, Stacks=12021.042.43—0.606——
HIHBBackbone=Hourglass, Stacks=42021.042.43—0.613——
ADNet2021.042.44—0.58——
ADNetBounding box source=GT landmarks (HRnet annotations)2022.102.44——4.0958.05
HIHSBackbone=Hourglass, Stacks=22021.042.57—0.613——
AWINGfocus on loss function=true2020.042.584.320.5777——
AWing2021.042.58—0.578——
SDFL2021.042.58—0.585——
AWing2021.092.584.320.5777——
HIH2021.092.584.450.606——
SDFLBounding box source=GT landmarks (HRnet annotations)2022.102.58——4.29—
HIHcBounding box source=GT landmarks (HRnet annotations), Face detector=RetinaFace2022.102.58——4.4560.6
STYLEfocus on data augmentation=true2020.042.724.240.5715——
DAG2020.042.724.120.5953——
AS w. SAN2021.042.72—0.609——
SDL2021.042.72—0.595——
SLDBounding box source=GT landmarks (HRnet annotations)2022.102.72——4.1259.53
LOTR-HR+2021.093.164.210.6092——
GV(HRNet)Backbone=HRNet2021.113.34.240.5863——
GV2021.093.34.240.5863——
3DDE2021.113.864.650.5602——
WINGfocus on loss function=true2020.044.34.930.5408——
ResNet50(Wing+PDB)Backbone=ResNet-502021.114.34.930.5408——
Wing2021.094.34.930.5408——
HRNet18Backbone=HRNet182020.044.724.550.5326——
HRNet2021.044.72—0.533——
SANfocus on data augmentation=true2020.044.875.190.5552——
SAN2021.044.87—0.555——
LAB2020.046.735.230.5433——
LAB2021.116.735.230.5433——
LAB2021.046.73—0.543——
LAB2021.096.735.230.5433——
DVLN2020.047.315.730.4743——
DVLN2021.117.315.730.4743——
efnRole=Teacher Network2021.1116.047.60.4944——
CFSS2020.0417.348.30.3854——
mnv2KDBackbone=MobileNetV2, Training=Knowledge Distillation2021.1119.918.150.4377——
mnv2Backbone=MobileNetV22021.1123.358.720.4015——
3DDEBounding box source=WFLW benchmark2022.10———4.65—
3DDE*Year=2019, Uses External Area Data=true2020.03—4.65———
AVS w/ LABYear=2019, Backbone=ResNet-18, Uses External Area Data=false2020.03—4.51———
AVS w/ Res-18Year=2019, Backbone=ResNet-18, Uses External Area Data=false2020.03—4.93———
AVS w/ SANYear=2019, Backbone=ITN-CPM, Uses External Area Data=false2020.03—4.24———
AVS+SANBounding box source=WFLW benchmark2022.10———4.24—
AWingBounding box source=WFLW benchmark2022.10———4.32—
AWingYear=2019, Backbone=Hourglass, Uses External Area Data=false2020.03—4.32———
DeCaFABounding box source=WFLW benchmark2022.10———4.41—
DeCaFA*Year=2019, Backbone=Cascaded U-net, Uses External Area Data=true2020.03—4.41———
HRNetYear=2019, Backbone=HRNetV2-W18, Uses External Area Data=false2020.03—4.55———
LABYear=2018, Backbone=ResNet-18, Uses External Area Data=false2020.03—5.23———
PIPNetBackbone=MobileNetV2, Uses External Area Data=false2020.03—4.56———
PIPNetBackbone=MobileNetV3, Uses External Area Data=false2020.03—4.49———
PIPNetBackbone=ResNet-18, Uses External Area Data=false2020.03—4.39———
PIPNetBackbone=ResNet-50, Uses External Area Data=false2020.03—4.35———
PIPNetBackbone=ResNet-101, Uses External Area Data=false2020.03—4.19———
WingYear=2018, Backbone=ResNet-50, Uses External Area Data=false2020.03—4.88———