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Unsupervised Facial Landmark Detection On 1

Metrics

NME

Results

Performance results of various models on this benchmark

Model Name	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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Unsupervised Facial Landmark Detection On 1 | SOTA | HyperAI