Facial Landmark Detection on WFLW Expression
1.27Failure Rate @0.1HIHB
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| HIHBBackbone=Hourglass, Stacks=42021.04 | 1.27 | — | 0.601 | — | — | |
| AWingBounding box source=GT landmarks (HRnet annotations)2022.10 | 1.27 | — | 57.18 | — | 4.46 | |
| SDFL2021.04 | 1.59 | — | 0.55 | — | — | |
| SLPTLayers=122021.04 | 1.59 | — | 0.573 | — | — | |
| HIHSBackbone=Hourglass, Stacks=22021.04 | 1.59 | — | 0.592 | — | — | |
| HIH2021.09 | 1.59 | 4.19 | — | 59 | — | |
| SDFLBounding box source=GT landmarks (HRnet annotations)2022.10 | 1.59 | — | — | — | 4.63 | |
| HIHcBounding box source=GT landmarks (HRnet annotations), Face detector=RetinaFace2022.10 | 1.59 | — | 59 | — | 4.19 | |
| ADNet2021.04 | 2.15 | — | 0.523 | — | — | |
| ADNetBounding box source=GT landmarks (HRnet annotations)2022.10 | 2.15 | — | 52.34 | — | 4.38 | |
| AWINGfocus on loss function=true2020.04 | 2.23 | 4.58 | 0.5149 | — | — | |
| AWing2021.04 | 2.23 | — | 0.515 | — | — | |
| SLPT2021.04 | 2.23 | — | 0.574 | — | — | |
| AWing2021.09 | 2.23 | 4.58 | — | 51.49 | — | |
| SPLTBounding box source=GT landmarks (HRnet annotations)2022.10 | 2.23 | — | 57.4 | — | 4.45 | |
| SPIGABounding box source=GT landmarks (HRnet annotations)2022.10 | 2.23 | — | 57.97 | — | 4.46 | |
| HIHTBackbone=Hourglass, Stacks=12021.04 | 2.54 | — | 0.578 | — | — | |
| GV(HRNet)Backbone=HRNet2021.11 | 2.55 | 4.51 | 0.5636 | — | — | |
| GV2021.09 | 2.55 | 4.51 | — | 56.36 | — | |
| DAG2020.04 | 2.86 | 4.49 | 0.5663 | — | — | |
| SDL2021.04 | 2.86 | — | 0.566 | — | — | |
| SLDBounding box source=GT landmarks (HRnet annotations)2022.10 | 2.86 | — | 56.63 | — | 4.49 | |
| LUVLi2021.04 | 3.18 | — | 0.549 | — | — | |
| LUVLIBounding box source=GT landmarks (HRnet annotations)2022.10 | 3.18 | — | — | — | 4.77 | |
| HRNet18Backbone=HRNet182020.04 | 3.5 | 4.85 | 0.5102 | — | — | |
| HRNet2021.04 | 3.5 | — | 0.51 | — | — | |
| LOTR-HR+2021.09 | 3.53 | 4.62 | — | 57.23 | — | |
| STYLEfocus on data augmentation=true2020.04 | 4.46 | 4.68 | 0.549 | — | — | |
| AS w. SAN2021.04 | 4.46 | — | 0.549 | — | — | |
| WINGfocus on loss function=true2020.04 | 4.78 | 5.36 | 0.4959 | — | — | |
| ResNet50(Wing+PDB)Backbone=ResNet-502021.11 | 4.78 | 5.36 | 0.4959 | — | — | |
| Wing2021.09 | 4.78 | 5.36 | — | 49.59 | — | |
| 3DDE2021.11 | 5.41 | 5.21 | 0.5175 | — | — | |
| LAB2020.04 | 6.37 | 5.51 | 0.4951 | — | — | |
| LAB2021.11 | 6.37 | 5.51 | 0.4951 | — | — | |
| LAB2021.04 | 6.37 | — | 0.495 | — | — | |
| LAB2021.09 | 6.37 | 5.51 | — | 49.51 | — | |
| SANfocus on data augmentation=true2020.04 | 7.01 | 5.71 | 0.462 | — | — | |
| SAN2021.04 | 7.01 | — | 0.462 | — | — | |
| DVLN2020.04 | 11.15 | 6.78 | 0.3889 | — | — | |
| DVLN2021.11 | 11.15 | 6.78 | 0.3889 | — | — | |
| efnRole=Teacher Network2021.11 | 19.42 | 7.97 | 0.4366 | — | — | |
| CFSS2020.04 | 23.25 | 10.09 | 0.3157 | — | — | |
| mnv2KDBackbone=MobileNetV2, Training=Knowledge Distillation2021.11 | 27.38 | 8.81 | 0.357 | — | — | |
| mnv2Backbone=MobileNetV22021.11 | 27.7 | 9.16 | 0.32 | — | — | |
| 3DDEBounding box source=WFLW benchmark2022.10 | — | — | — | — | 5.21 | |
| AVS+SANBounding box source=WFLW benchmark2022.10 | — | — | — | — | 4.68 | |
| AWingBounding box source=WFLW benchmark2022.10 | — | — | — | — | 4.58 | |
| DeCaFABounding box source=WFLW benchmark2022.10 | — | — | — | — | 4.65 |