Facial Landmark Detection on WFLW Make-up
3.81Mean ErrorSPIGA
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| SPIGABounding box source=GT landmarks (HRnet annotations)2022.10 | 3.81 | — | — | — | — | — | 1.46 | 62.24 | |
| HIH2021.09 | 3.97 | — | — | 1.46 | — | 60.4 | — | — | |
| HIHcBounding box source=GT landmarks (HRnet annotations), Face detector=RetinaFace2022.10 | 3.97 | — | — | — | — | — | 1.46 | 60.4 | |
| SPLTBounding box source=GT landmarks (HRnet annotations)2022.10 | 4 | — | — | — | — | — | 3.1 | 60.5 | |
| AWingBounding box source=GT landmarks (HRnet annotations)2022.10 | 4.02 | — | — | — | — | — | 0.97 | 60.17 | |
| PIPNetBackbone=ResNet-101, Uses External Area Data=false2020.03 | 4.02 | — | — | — | — | — | — | — | |
| DAG2020.04 | 4.05 | 1.45 | 0.6038 | — | — | — | — | — | |
| SLDBounding box source=GT landmarks (HRnet annotations)2022.10 | 4.05 | — | — | — | — | — | 1.46 | 60.38 | |
| ADNetBounding box source=GT landmarks (HRnet annotations)2022.10 | 4.05 | — | — | — | — | — | 1.94 | 60.07 | |
| LOTR-HR+2021.09 | 4.16 | — | — | 2.43 | — | 60.7 | — | — | |
| GV(HRNet)Backbone=HRNet2021.11 | 4.18 | — | — | 3.4 | 0.5881 | — | — | — | |
| GV2021.09 | 4.18 | — | — | 3.4 | — | 58.81 | — | — | |
| SDFLBounding box source=GT landmarks (HRnet annotations)2022.10 | 4.22 | — | — | — | — | — | 2.43 | — | |
| AWINGfocus on loss function=true2020.04 | 4.27 | 2.91 | 0.5022 | — | — | — | — | — | |
| AWing2021.09 | 4.27 | — | — | 2.91 | — | 57.15 | — | — | |
| AWingBounding box source=WFLW benchmark2022.10 | 4.27 | — | — | — | — | — | — | — | |
| AWingYear=2019, Backbone=Hourglass, Uses External Area Data=false2020.03 | 4.27 | — | — | — | — | — | — | — | |
| PIPNetBackbone=ResNet-50, Uses External Area Data=false2020.03 | 4.27 | — | — | — | — | — | — | — | |
| HRNet18Backbone=HRNet182020.04 | 4.29 | 2.43 | 0.5445 | — | — | — | — | — | |
| HRNetYear=2019, Backbone=HRNetV2-W18, Uses External Area Data=false2020.03 | 4.29 | — | — | — | — | — | — | — | |
| LUVLIBounding box source=GT landmarks (HRnet annotations)2022.10 | 4.33 | — | — | — | — | — | 3.4 | — | |
| STYLEfocus on data augmentation=true2020.04 | 4.37 | 4.37 | 0.6089 | — | — | — | — | — | |
| AVS+SANBounding box source=WFLW benchmark2022.10 | 4.37 | — | — | — | — | — | — | — | |
| AVS w/ SANYear=2019, Backbone=ITN-CPM, Uses External Area Data=false2020.03 | 4.37 | — | — | — | — | — | — | — | |
| PIPNetBackbone=ResNet-18, Uses External Area Data=false2020.03 | 4.38 | — | — | — | — | — | — | — | |
| PIPNetBackbone=MobileNetV3, Uses External Area Data=false2020.03 | 4.46 | — | — | — | — | — | — | — | |
| 3DDE2021.11 | 4.6 | — | — | 6.79 | 0.5536 | — | — | — | |
| 3DDEBounding box source=WFLW benchmark2022.10 | 4.6 | — | — | — | — | — | — | — | |
| 3DDE*Year=2019, Uses External Area Data=true2020.03 | 4.6 | — | — | — | — | — | — | — | |
| PIPNetBackbone=MobileNetV2, Uses External Area Data=false2020.03 | 4.6 | — | — | — | — | — | — | — | |
| DeCaFABounding box source=WFLW benchmark2022.10 | 4.63 | — | — | — | — | — | — | — | |
| DeCaFA*Year=2019, Backbone=Cascaded U-net, Uses External Area Data=true2020.03 | 4.63 | — | — | — | — | — | — | — | |
| AVS w/ LABYear=2019, Backbone=ResNet-18, Uses External Area Data=false2020.03 | 5 | — | — | — | — | — | — | — | |
| LAB2020.04 | 5.15 | 7.77 | 0.5394 | — | — | — | — | — | |
| LAB2021.11 | 5.15 | — | — | 7.77 | 0.5394 | — | — | — | |
| LAB2021.09 | 5.15 | — | — | 7.77 | — | 53.94 | — | — | |
| LABYear=2018, Backbone=ResNet-18, Uses External Area Data=false2020.03 | 5.15 | — | — | — | — | — | — | — | |
| WingYear=2018, Backbone=ResNet-50, Uses External Area Data=false2020.03 | 5.26 | — | — | — | — | — | — | — | |
| WINGfocus on loss function=true2020.04 | 5.41 | 7.77 | 0.5582 | — | — | — | — | — | |
| ResNet50(Wing+PDB)Backbone=ResNet-502021.11 | 5.41 | — | — | 7.77 | 0.5582 | — | — | — | |
| Wing2021.09 | 5.41 | — | — | 7.77 | — | 55.82 | — | — | |
| AVS w/ Res-18Year=2019, Backbone=ResNet-18, Uses External Area Data=false2020.03 | 5.47 | — | — | — | — | — | — | — | |
| SANfocus on data augmentation=true2020.04 | 5.49 | 6.31 | 0.5222 | — | — | — | — | — | |
| DVLN2020.04 | 5.98 | 11.65 | 0.4494 | — | — | — | — | — | |
| DVLN2021.11 | 5.98 | — | — | 11.65 | 0.4494 | — | — | — | |
| efnRole=Teacher Network2021.11 | 8.43 | — | — | 23.3 | 0.4493 | — | — | — | |
| CFSS2020.04 | 8.74 | 21.84 | 0.3691 | — | — | — | — | — | |
| mnv2KDBackbone=MobileNetV2, Training=Knowledge Distillation2021.11 | 8.75 | — | — | 22.33 | 0.394 | — | — | — | |
| mnv2Backbone=MobileNetV22021.11 | 9.11 | — | — | 25.24 | 0.3651 | — | — | — | |
| ADNet2021.04 | — | 1.94 | 0.601 | — | — | — | — | — | |
| AS w. SAN2021.04 | — | 4.37 | 0.581 | — | — | — | — | — | |
| AWing2021.04 | — | 2.91 | 0.572 | — | — | — | — | — | |
| HIHBBackbone=Hourglass, Stacks=42021.04 | — | 1.45 | 0.618 | — | — | — | — | — | |
| HIHSBackbone=Hourglass, Stacks=22021.04 | — | 1.94 | 0.612 | — | — | — | — | — | |
| HIHTBackbone=Hourglass, Stacks=12021.04 | — | 3.39 | 0.6 | — | — | — | — | — | |
| HRNet2021.04 | — | 2.43 | 0.545 | — | — | — | — | — | |
| LAB2021.04 | — | 7.77 | 0.539 | — | — | — | — | — | |
| LUVLi2021.04 | — | 3.4 | 0.588 | — | — | — | — | — | |
| SAN2021.04 | — | 6.31 | 0.522 | — | — | — | — | — | |
| SDFL2021.04 | — | 2.43 | 0.583 | — | — | — | — | — | |
| SDL2021.04 | — | 1.45 | 0.604 | — | — | — | — | — | |
| SLPT2021.04 | — | 3.4 | 0.605 | — | — | — | — | — | |
| SLPTLayers=122021.04 | — | 1.94 | 0.608 | — | — | — | — | — |