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Facial Landmark Detection on WFLW Blur

4.65Mean Error (%)SPIGA
4.43765.87137.3058.7387Mar 8, 2020Aug 13, 2020Jan 18, 2021Jun 25, 2021Nov 30, 2021May 7, 2022Oct 13, 2022

Evaluation results

MethodLinks
SPIGABounding box source=GT landmarks (HRnet annotations)2022.104.652.2—55.31
ADNetBounding box source=GT landmarks (HRnet annotations)2022.104.793.54—54.8
SPLTBounding box source=GT landmarks (HRnet annotations)2022.104.793.88—53.5
HIH2021.094.813.49—54.9
HIHcBounding box source=GT landmarks (HRnet annotations), Face detector=RetinaFace2022.104.813.49—54.9
DAG2020.044.824.010.5329—
AWingBounding box source=GT landmarks (HRnet annotations)2022.104.822.72—53.93
SLDBounding box source=GT landmarks (HRnet annotations)2022.104.824.01—53.29
STYLEfocus on data augmentation=true2020.044.864.40.5513—
AVS+SANBounding box source=WFLW benchmark2022.104.86———
AVS w/ SANYear=2019, Backbone=ITN-CPM, Uses External Area Data=false2020.034.86———
LOTR-HR+2021.094.895.19—55.53
GV(HRNet)Backbone=HRNet2021.114.935.050.5242—
GV2021.094.935.05—52.42
LUVLIBounding box source=GT landmarks (HRnet annotations)2022.104.943.23——
AWINGfocus on loss function=true2020.044.963.750.512—
AWing2021.094.963.75—51.2
AWingBounding box source=WFLW benchmark2022.104.96———
AWingYear=2019, Backbone=Hourglass, Uses External Area Data=false2020.034.96———
PIPNetBackbone=ResNet-101, Uses External Area Data=false2020.035.02———
SDFLBounding box source=GT landmarks (HRnet annotations)2022.105.083.62——
PIPNetBackbone=ResNet-50, Uses External Area Data=false2020.035.19———
PIPNetBackbone=ResNet-18, Uses External Area Data=false2020.035.25———
PIPNetBackbone=MobileNetV3, Uses External Area Data=false2020.035.31———
DeCaFABounding box source=WFLW benchmark2022.105.38———
DeCaFA*Year=2019, Backbone=Cascaded U-net, Uses External Area Data=true2020.035.38———
3DDE2021.115.416.720.4957—
3DDEBounding box source=WFLW benchmark2022.105.41———
3DDE*Year=2019, Uses External Area Data=true2020.035.41———
HRNet18Backbone=HRNet182020.045.426.340.4515—
HRNetYear=2019, Backbone=HRNetV2-W18, Uses External Area Data=false2020.035.42———
AVS w/ LABYear=2019, Backbone=ResNet-18, Uses External Area Data=false2020.035.43———
PIPNetBackbone=MobileNetV2, Uses External Area Data=false2020.035.53———
SANfocus on data augmentation=true2020.045.86.60.4932—
WINGfocus on loss function=true2020.045.817.760.4932—
ResNet50(Wing+PDB)Backbone=ResNet-502021.115.817.760.4918—
Wing2021.095.817.76—49.18
WingYear=2018, Backbone=ResNet-50, Uses External Area Data=false2020.035.81———
AVS w/ Res-18Year=2019, Backbone=ResNet-18, Uses External Area Data=false2020.035.86———
LAB2020.046.3210.740.463—
LAB2021.116.3210.740.463—
LAB2021.096.3210.74—46.3
LABYear=2018, Backbone=ResNet-18, Uses External Area Data=false2020.036.32———
DVLN2020.046.8813.710.3973—
DVLN2021.116.8813.710.3973—
efnRole=Teacher Network2021.118.6923.80.4067—
mnv2KDBackbone=MobileNetV2, Training=Knowledge Distillation2021.119.429.10.3521—
mnv2Backbone=MobileNetV22021.119.8833.630.3166—
CFSS2020.049.9623.670.3037—
ADNet2021.04—3.540.548—
AS w. SAN2021.04—4.40.551—
AWing2021.04—3.750.512—
HIHBBackbone=Hourglass, Stacks=42021.04—3.10.561—
HIHSBackbone=Hourglass, Stacks=22021.04—3.230.558—
HIHTBackbone=Hourglass, Stacks=12021.04—3.620.545—
HRNet2021.04—6.340.452—
LAB2021.04—10.740.463—
LUVLi2021.04—3.230.525—
SAN2021.04—6.60.493—
SDFL2021.04—3.620.515—
SDL2021.04—4.010.533—
SLPT2021.04—3.880.535—
SLPTLayers=122021.04—3.880.537—