Facial Landmark Detection on 300W Fullset 2013 (test)
2.99NMEGV(HRNet)
Evaluation results
| Method | Links | |
|---|---|---|
| GV(HRNet)backbone=HRNet2021.11 | 2.99 | |
| GEAN2021.11 | 3.05 | |
| AWing2021.11 | 3.07 | |
| LRefNets2021.11 | 3.12 | |
| 3DDE2021.11 | 3.13 | |
| DCFE2021.11 | 3.24 | |
| HRNetV2021.11 | 3.32 | |
| PFLD 1Xscale=1X2021.11 | 3.4 | |
| CCNN2021.11 | 3.44 | |
| LAB2021.11 | 3.49 | |
| ResNet50-FFLDbackbone=ResNet-502021.11 | 3.5 | |
| DAN2021.11 | 3.59 | |
| efnbackbone=EfficientNet-B32021.11 | 3.82 | |
| SAN2021.11 | 3.98 | |
| mnv2KDbackbone=MobileNetV22021.11 | 4.06 | |
| ODN2021.11 | 4.17 | |
| CPM2021.11 | 4.36 | |
| PCD-CNN2021.11 | 4.44 | |
| mnv2backbone=MobileNetV22021.11 | 4.5 | |
| DSRN2021.11 | 5.21 | |
| RCN2021.11 | 5.41 |