Face Alignment on AFLW 21 pts (test)
2.71NME [0, 30]HF-ResNet
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| HF-ResNet2016.03 | 2.71 | 2.88 | 3.19 | 2.93 | 0.25 | |
| 3DSTNArchitecture=VGG-162017.07 | 3.55 | 3.92 | 5.21 | 4.23 | 0.87 | |
| 3DSTN2020.09 | 3.55 | 3.92 | 5.21 | 4.23 | — | |
| HyperFace2016.03 | 3.93 | 4.14 | 4.71 | 4.26 | 0.41 | |
| 3DDFA-V2meta-joint optimization=true, landmark-regression regularization=true, short-video-synthesis=true2020.09 | 3.98 | 4.31 | 4.99 | 4.43 | — | |
| 3DDFA-V2meta-joint optimization=true, landmark-regression regularization=true, short-video-synthesis=false2020.09 | 4.06 | 4.41 | 5.02 | 4.5 | — | |
| 3DSTNArchitecture=AlexNet2017.07 | 4.11 | 4.69 | 6.61 | 5.14 | 1.31 | |
| 3DDFATraining Set=300W-LP2018.04 | 4.11 | 4.38 | 5.16 | 4.55 | 0.54 | |
| 3DDFA-TPAMI2020.09 | 4.11 | 4.38 | 5.16 | 4.55 | — | |
| PRNet2020.09 | 4.19 | 4.69 | 5.45 | 4.77 | — | |
| Multitask_Face2016.03 | 4.2 | 4.93 | 5.23 | 4.79 | 0.53 | |
| 3D-FAN2020.09 | 4.4 | 4.52 | 5.17 | 4.69 | — | |
| R-CNN_Fiducial2016.03 | 4.49 | 4.7 | 5.09 | 4.76 | 0.3 | |
| SDMTraining Set=300W2018.04 | 4.67 | 6.78 | 16.13 | 9.19 | 6.1 | |
| SDMTraining Set=300W2015.11 | 4.67 | 6.78 | 16.13 | 9.19 | 6.1 | |
| CFSSTraining Set=300W2018.04 | 4.68 | 9.78 | 23.07 | 12.51 | 9.49 | |
| SDM2017.07 | 4.75 | 5.55 | 9.34 | 6.55 | 2.45 | |
| 3DDFA+SDM2017.07 | 4.75 | 4.83 | 6.38 | 5.32 | 0.92 | |
| SDM2016.03 | 4.75 | 5.55 | 9.34 | 6.55 | 2.45 | |
| 3DDFA+SDM2016.03 | 4.75 | 4.83 | 6.38 | 5.32 | 0.92 | |
| SDMTraining Set=300W-LP2018.04 | 4.75 | 5.55 | 9.34 | 6.55 | 2.45 | |
| SDMTraining Set=300W-LP2015.11 | 4.75 | 5.55 | 9.34 | 6.55 | 2.45 | |
| 3DDFA+SDM2015.11 | 4.75 | 4.83 | 6.38 | 5.32 | 0.92 | |
| SDM2020.09 | 4.75 | 5.55 | 9.34 | 6.55 | — | |
| 3DDFA+SDMextra_component=SDM2020.09 | 4.75 | 4.83 | 6.38 | 5.32 | — | |
| DCNTraining Set=300W-LP2018.04 | 4.99 | 5.47 | 8.1 | 6.19 | 1.68 | |
| 3DDFA2017.07 | 5 | 5.06 | 6.74 | 5.6 | 0.99 | |
| 3DDFA2016.03 | 5 | 5.06 | 6.74 | 5.6 | 0.99 | |
| 3DDFA (Pre)Training Set=300W-LP2018.04 | 5 | 5.06 | 6.74 | 5.6 | 0.99 | |
| 3DDFA2015.11 | 5 | 5.06 | 6.74 | 5.6 | 0.99 | |
| 3DDFA2020.09 | 5 | 5.06 | 6.74 | 5.6 | — | |
| MDMTraining Set=300W2018.04 | 5.14 | 10.95 | 24.11 | 13.4 | 9.72 | |
| RCPRTraining Set=300W2018.04 | 5.4 | 9.8 | 20.61 | 11.94 | 7.83 | |
| RCPRTraining Set=300W2015.11 | 5.4 | 9.8 | 20.61 | 11.94 | 7.83 | |
| CFSSTraining Set=300W-LP2018.04 | 5.42 | 6.73 | 11.48 | 7.88 | 3.19 | |
| RCPR2017.07 | 5.43 | 6.58 | 11.53 | 7.85 | 3.24 | |
| RCPR2016.03 | 5.43 | 6.58 | 11.53 | 7.85 | 3.24 | |
| RCPRTraining Set=300W-LP2018.04 | 5.43 | 6.58 | 11.53 | 7.85 | 3.24 | |
| RCPRTraining Set=300W-LP2015.11 | 5.43 | 6.58 | 11.53 | 7.85 | 3.24 | |
| MDMTraining Set=300W-LP2018.04 | 5.57 | 5.99 | 9.96 | 7.17 | 2.43 | |
| ESRTraining Set=300W2018.04 | 5.58 | 10.62 | 20.02 | 12.07 | 7.33 | |
| ESRTraining Set=300W2015.11 | 5.58 | 10.62 | 20.02 | 12.07 | 7.33 | |
| ESR2017.07 | 5.66 | 7.12 | 11.94 | 8.24 | 3.29 | |
| ESR2016.03 | 5.66 | 7.12 | 11.94 | 8.24 | 3.29 | |
| ESRTraining Set=300W-LP2018.04 | 5.66 | 7.12 | 11.94 | 8.24 | 3.29 | |
| ESRTraining Set=300W-LP2015.11 | 5.66 | 7.12 | 11.94 | 8.24 | 3.29 | |
| ESR2020.09 | 5.66 | 7.12 | 11.94 | 8.24 | — | |
| RMFAprovided model=true2018.04 | 5.67 | 7.77 | 11.29 | 8.24 | 2.84 | |
| TSPMTraining Set=300W-LP2018.04 | 5.91 | 6.52 | 7.68 | 6.7 | 0.9 | |
| RCPR2015.11 | 6.16 | 18.67 | 34.82 | 19.88 | 14.36 | |
| LBFTraining Set=300W2018.04 | 7.17 | 17.54 | 28.45 | 17.72 | 10.64 | |
| CDM2017.07 | 8.15 | 13.02 | 16.17 | 12.44 | 4.04 | |
| CDM2016.03 | 8.15 | 13.02 | 16.17 | 12.44 | 4.04 | |
| CDM2015.11 | 8.15 | 13.02 | 16.17 | 12.44 | 4.04 | |
| LBFTraining Set=300W-LP2018.04 | 8.43 | 9.54 | 13.06 | 10.34 | 2.42 |