Unsupervised Facial Landmark Detection On 1
Métriques
NME
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | NME |
|---|---|
| unsupervised-learning-of-object-landmarks-by | 6.67 |
| unsupervised-learning-of-object-landmarks-by | 6.32 |
| unsupervised-learning-of-object-frames-by | 4.02 |
| unsupervised-image-representation-learning | 2.43 |
| latentkeypointgan-controlling-gans-via-latent | 5.85 |
| autolink-self-supervised-learning-of-human | 3.54 |
| self-supervised-learning-of-a-facial | 3.44 |
| deforming-autoencoders-unsupervised | 5.45 |
| unsupervised-learning-of-object-landmarks | 2.54 |
| learning-deep-representation-for-face | 7.95 |
| unsupervised-discovery-of-object-landmarks-as | 3.15 |
| unsupervised-part-based-disentangling-of | 3.24 |
| unsupervised-learning-of-landmarks-by | 2.86 |