Facial Landmark Detection on 300W official (test)
58.85AUC (0.08)LAB
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| LABbackbone=Hourglass, extra info=boundary information (B)2019.04 | 58.85 | — | — | — | 0.83 | |
| JMFAbackbone=Hourglass2019.04 | 54.85 | — | — | — | 1 | |
| Chen et al.backbone=Hourglass2019.04 | 53.64 | 3.96 | — | — | 2.5 | |
| Chen et al.backbone=Hourglass2019.08 | 53.64 | 3.96 | — | 2.5 | — | |
| DCFEextra info=3D information (3D)2019.04 | 52.42 | 3.88 | — | — | 1.83 | |
| DCFEextra information=3D information (3D)2019.08 | 52.42 | 3.88 | — | 1.83 | — | |
| DReg + MDMbackbone=ResNet1012019.04 | 52.19 | — | — | — | 3.67 | |
| HRNetV2backbone=HRNetV2-W182019.04 | 52.09 | 3.85 | 61.55 | 1 | 0.33 | |
| HRNetV2-W18backbone=HRNetV2-W182019.08 | 52.09 | 3.85 | 61.55 | 1 | 0.33 | |
| Fan et al.2019.04 | 48.02 | — | — | — | 14.83 | |
| Deng et al.2019.04 | 47.52 | — | — | — | 5.5 | |
| DAN2019.04 | 47 | 4.3 | — | — | 2.67 | |
| DAN2019.08 | 47 | 4.3 | — | 2.67 | — | |
| MDM2019.04 | 45.32 | 4.78 | — | — | 6.8 | |
| MDM2019.08 | 45.32 | 4.78 | — | 6.8 | — | |
| CFSS2019.04 | 36.58 | 5.74 | — | — | 12.33 | |
| CFSS2019.08 | 36.58 | 5.74 | — | 12.33 | — | |
| SDM2019.04 | 36.27 | 5.83 | — | — | 13 | |
| SDM2019.08 | 36.27 | 5.83 | — | 13 | — | |
| Yan et al.2019.04 | 34.97 | — | — | — | 12.67 | |
| Yan et al.2019.08 | 34.97 | — | — | 12.67 | — | |
| CFAN2019.04 | 34.78 | 5.78 | — | — | 14 | |
| CFAN2019.08 | 34.78 | 5.78 | — | 14 | — | |
| Face++2019.04 | 32.81 | — | — | — | 13 | |
| Face++2019.08 | 32.81 | — | — | 13 | — | |
| ERT2019.04 | 27.01 | 8.41 | — | — | 28.83 | |
| ERT2019.08 | 27.01 | 8.41 | — | 28.83 | — | |
| ESR2019.04 | 26.09 | 8.47 | — | — | 30.5 | |
| ESR2019.08 | 26.09 | 8.47 | — | 30.5 | — | |
| LBF2019.04 | 25.27 | 8.57 | — | — | 33.67 | |
| LBF2019.08 | 25.27 | 8.57 | — | 33.67 | — | |
| Balt. et al.2019.08 | 19.55 | — | — | 38.83 | — | |
| Balt. et al.2019.04 | — | 19.55 | — | — | 38.83 | |
| Deng et al.2019.08 | — | — | 47.52 | — | 5.5 | |
| DReg + MDMbackbone=ResNet1012019.08 | — | — | 52.19 | — | 3.67 | |
| Fan et al.2019.08 | — | — | 48.02 | — | 14.83 | |
| JMFAbackbone=Hourglass2019.08 | — | — | 54.85 | — | 1 | |
| LABbackbone=Hourglass, extra information=boundary information (B)2019.08 | — | — | 58.85 | — | 0.83 |