3D facial landmark localization on 3DFAW (test)
3.46CVGTCEJVCR
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| JVCR2018.01 | 3.46 | 4.35 | — | — | |
| Bulat et al.2018.01 | 3.47 | 4.56 | — | — | |
| Tulyakov et al.2018.01 | 3.8 | 5.1 | — | — | |
| Zhao et al.2018.01 | 3.97 | 5.88 | — | — | |
| Gou et al.2018.01 | 4.94 | 6.2 | — | — | |
| Zavan et al.2018.01 | 5.9 | 10.8 | — | — | |
| Second best methodsource=3DFAW Challenge website2016.09 | — | — | 5.8835 | 3.97 | |
| Two-stage Convolutional Part Heatmap Regression2016.09 | — | — | 4.5623 | 3.4767 |