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SOTA
Détection non supervisée des points de repère faciaux
Unsupervised Facial Landmark Detection On 1
Unsupervised Facial Landmark Detection On 1
Métriques
NME
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
NME
Paper Title
Repository
FSE
6.67
Unsupervised learning of object landmarks by factorized spatial embeddings
-
Thewlis2017unsupervised
6.32
Unsupervised learning of object landmarks by factorized spatial embeddings
-
DEIL
4.02
Unsupervised learning of object frames by dense equivariant image labelling
-
Deep Latent Particles
2.43
Unsupervised Image Representation Learning with Deep Latent Particles
-
LatentKeypointGAN
5.85
LatentKeypointGAN: Controlling Images via Latent Keypoints
-
AutoLink
3.54
AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
-
FAB-Net
3.44
Self-supervised learning of a facial attribute embedding from video
-
Deforming Autoencoders
5.45
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
-
Conditional Image Generation
2.54
Unsupervised Learning of Object Landmarks through Conditional Image Generation
-
TCDCN
7.95
Learning Deep Representation for Face Alignment with Auxiliary Attributes
-
LMDIS-REP
3.15
Unsupervised Discovery of Object Landmarks as Structural Representations
-
Lorenz2019unsupervised
3.24
Unsupervised Part-Based Disentangling of Object Shape and Appearance
-
DVE
2.86
Unsupervised Learning of Landmarks by Descriptor Vector Exchange
-
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