Facial Landmark Detection on 300VW (test)
3.03Cat 1 NMEPIPNet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PIPNetBackbone=ResNet-1012020.03 | 3.03 | 3.42 | 5.28 | |
| PIPNetBackbone=ResNet-182020.03 | 3.04 | 3.51 | 5.32 | |
| PIPNetBackbone=ResNet-502020.03 | 3.05 | 3.49 | 5.35 | |
| PIPNetBackbone=Mob. NetV32020.03 | 3.07 | 3.55 | 5.57 | |
| PIPNetBackbone=Mob. NetV22020.03 | 3.1 | 3.6 | 5.6 | |
| DeCaFAYear=2019, Backbone=Cas. U-net2020.03 | 3.82 | 3.63 | 6.67 | |
| HG+SA+GHCUYear=2019, Backbone=Hourglass2020.03 | 3.85 | 3.46 | 7.51 | |
| P. Chandran et al.Year=2020, Backbone=Hourglass2020.03 | 4.17 | 3.89 | 7.28 | |
| FHR+STAYear=2019, Backbone=Hourglass2020.03 | 4.42 | 4.18 | 5.98 | |
| TSTNYear=2017, Backbone=null2020.03 | 5.36 | 4.51 | 12.8 | |
| TCDCNYear=2016, Backbone=null2020.03 | 7.66 | 6.77 | 15 | |
| CFSSYear=2015, Backbone=null2020.03 | 7.68 | 6.42 | 13.7 |