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Unsupervised Facial Landmark Detection On 1

評価指標

NME

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

		Paper Title
TCDCN	7.95	Learning Deep Representation for Face Alignment with Auxiliary Attributes
FSE	6.67	Unsupervised learning of object landmarks by factorized spatial embeddings
Thewlis2017unsupervised	6.32	Unsupervised learning of object landmarks by factorized spatial embeddings
LatentKeypointGAN	5.85	LatentKeypointGAN: Controlling Images via Latent Keypoints
Deforming Autoencoders	5.45	Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
DEIL	4.02	Unsupervised learning of object frames by dense equivariant image labelling
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
Lorenz2019unsupervised	3.24	Unsupervised Part-Based Disentangling of Object Shape and Appearance
LMDIS-REP	3.15	Unsupervised Discovery of Object Landmarks as Structural Representations
DVE	2.86	Unsupervised Learning of Landmarks by Descriptor Vector Exchange
Conditional Image Generation	2.54	Unsupervised Learning of Object Landmarks through Conditional Image Generation
Deep Latent Particles	2.43	Unsupervised Image Representation Learning with Deep Latent Particles

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Unsupervised Facial Landmark Detection On 1 | SOTA | HyperAI超神経