Face Alignment On Cofw
Métriques
NME (inter-ocular)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | NME (inter-ocular) |
|---|---|
| 190807919 | 3.45 |
| sparse-local-patch-transformer-for-robust | 3.32 |
| wing-loss-for-robust-facial-landmark | 5.07 |
| pixel-in-pixel-net-towards-efficient-facial | 3.08% |
| stacked-dense-u-nets-with-dual-transformers | - |
| towards-accurate-facial-landmark-detection-1 | 3.02% |
| facial-landmark-points-detection-using | 4.11% |
| cascade-of-encoder-decoder-cnns-with-learned | - |
| look-at-boundary-a-boundary-aware-face | 3.92% |
| look-at-boundary-a-boundary-aware-face | 5.58% |
| pre-training-strategies-and-datasets-for | 3.32 |
| atf-towards-robust-face-alignment-via | 3.32% |
| multi-task-head-pose-estimation-in-the-wild-1 | - |
| propagationnet-propagate-points-to-curve-to-1 | 3.71% |
| star-loss-reducing-semantic-ambiguity-in-1 | 3.21% |
| when-liebig-s-barrel-meets-facial-landmark | 3.1% |
| fiducial-focus-augmentation-for-facial | 2.96 |
| acr-loss-adaptive-coordinate-based-regression | 3.47% |
| fast-and-accurate-structure-coherence | 3.63% |
| a-deeply-initialized-coarse-to-fine-ensemble | - |
| high-resolution-representations-for-labeling | 3.45% |
| revisiting-quantization-error-in-face | 3.28% |
| face-alignment-using-a-3d-deeply-initialized | - |
| facial-landmark-points-detection-using | 3.81% |
| subpixel-heatmap-regression-for-facial | 3.02% |
| multi-task-head-pose-estimation-in-the-wild-1 | - |
| disentangling-3d-pose-in-a-dendritic-cnn-for | 5.77% |
| hih-towards-more-accurate-face-alignment-via | 3.21% |