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Facial Landmark Detection on WFLW Pose

6.96Mean Error (%)ADNet
6.38410.27214.1618.048Mar 8, 2020Aug 13, 2020Jan 18, 2021Jun 25, 2021Nov 30, 2021May 7, 2022Oct 13, 2022

Evaluation results

MethodLinks
ADNetBounding box source=GT landmarks (HRnet annotations)2022.106.9612.720.3441——
SPLTBounding box source=GT landmarks (HRnet annotations)2022.106.9612.270.348——
SPIGABounding box source=GT landmarks (HRnet annotations)2022.107.1411.660.3531——
HIH2021.097.2——15.0334.2
HIHcBounding box source=GT landmarks (HRnet annotations), Face detector=RetinaFace2022.107.215.030.342——
AWingBounding box source=GT landmarks (HRnet annotations)2022.107.219.20.3337——
DAG2020.047.3615.950.315——
SLDBounding box source=GT landmarks (HRnet annotations)2022.107.3615.950.315——
AWINGfocus on loss function=true2020.047.3813.50.312——
AWing2021.097.38——13.531.2
AWingBounding box source=WFLW benchmark2022.107.38————
AWingYear=2019, Backbone=Hourglass, Uses External Area Data=false2020.037.38————
GV(HRNet)Backbone=HRNet2021.117.4116.260.3166——
GV2021.097.41——16.2631.66
SDFLBounding box source=GT landmarks (HRnet annotations)2022.107.4212.88———
LOTR-HR+2021.097.5——16.3136.59
PIPNetBackbone=ResNet-101, Uses External Area Data=false2020.037.51————
LUVLIBounding box source=GT landmarks (HRnet annotations)2022.107.5615.95———
HRNet18Backbone=HRNet182020.047.9423.010.2506——
HRNetYear=2019, Backbone=HRNetV2-W18, Uses External Area Data=false2020.037.94————
PIPNetBackbone=ResNet-50, Uses External Area Data=false2020.037.98————
PIPNetBackbone=ResNet-18, Uses External Area Data=false2020.038.02————
DeCaFABounding box source=WFLW benchmark2022.108.11————
DeCaFA*Year=2019, Backbone=Cascaded U-net, Uses External Area Data=true2020.038.11————
GlomFaceBounding box source=GT landmarks (HRnet annotations)2022.108.1717.48———
AVS w/ LABYear=2019, Backbone=ResNet-18, Uses External Area Data=false2020.038.21————
PIPNetBackbone=MobileNetV3, Uses External Area Data=false2020.038.22————
STYLEfocus on data augmentation=true2020.048.4218.10.3109——
AVS+SANBounding box source=WFLW benchmark2022.108.42————
AVS w/ SANYear=2019, Backbone=ITN-CPM, Uses External Area Data=false2020.038.42————
WingYear=2018, Backbone=ResNet-50, Uses External Area Data=false2020.038.43————
3DDE2021.118.6222.390.264——
3DDEBounding box source=WFLW benchmark2022.108.62————
3DDE*Year=2019, Uses External Area Data=true2020.038.62————
WINGfocus on loss function=true2020.048.7522.70.31——
ResNet50(Wing+PDB)Backbone=ResNet-502021.118.7522.70.31——
Wing2021.098.75——22.731
PIPNetBackbone=MobileNetV2, Uses External Area Data=false2020.038.76————
AVS w/ Res-18Year=2019, Backbone=ResNet-18, Uses External Area Data=false2020.039.1————
LAB2020.0410.2428.830.2345——
LAB2021.1110.2428.830.2345——
LAB2021.0910.24——28.8323.45
LABYear=2018, Backbone=ResNet-18, Uses External Area Data=false2020.0310.24————
SANfocus on data augmentation=true2020.0410.3927.910.2355——
DVLN2020.0411.5446.930.1474——
DVLN2021.1111.5446.930.1474——
efnRole=Teacher Network2021.1114.1570.550.0905——
mnv2KDBackbone=MobileNetV2, Training=Knowledge Distillation2021.1115.0681.590.053——
mnv2Backbone=MobileNetV22021.1116.0686.50.0321——
CFSS2020.0421.3666.260.0632——
ADNet2021.04—12.720.344——
AS w. SAN2021.04—18.10.311——
AWing2021.04—13.50.312——
HIHBBackbone=Hourglass, Stacks=42021.04—12.880.358——
HIHSBackbone=Hourglass, Stacks=22021.04—13.490.346——
HIHTBackbone=Hourglass, Stacks=12021.04—13.80.337——
HRNet2021.04—23.010.251——
LAB2021.04—28.830.235——
LUVLi2021.04—15.950.31——
SAN2021.04—27.910.236——
SDFL2021.04—12.880.315——
SDL2021.04—15.950.315——
SLPT2021.04—12.270.348——
SLPTLayers=122021.04—11.960.349——