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  4. Unsupervised Facial Landmark Detection On 1

Unsupervised Facial Landmark Detection On 1

评估指标

NME

评测结果

各个模型在此基准测试上的表现结果

模型名称
NME
Paper TitleRepository
FSE6.67Unsupervised learning of object landmarks by factorized spatial embeddings
Thewlis2017unsupervised6.32Unsupervised learning of object landmarks by factorized spatial embeddings
DEIL4.02Unsupervised learning of object frames by dense equivariant image labelling-
Deep Latent Particles2.43Unsupervised Image Representation Learning with Deep Latent Particles
LatentKeypointGAN5.85LatentKeypointGAN: Controlling Images via Latent Keypoints
AutoLink3.54AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
FAB-Net3.44Self-supervised learning of a facial attribute embedding from video
Deforming Autoencoders5.45Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
Conditional Image Generation2.54Unsupervised Learning of Object Landmarks through Conditional Image Generation
TCDCN7.95Learning Deep Representation for Face Alignment with Auxiliary Attributes-
LMDIS-REP3.15Unsupervised Discovery of Object Landmarks as Structural Representations
Lorenz2019unsupervised3.24Unsupervised Part-Based Disentangling of Object Shape and Appearance
DVE2.86Unsupervised Learning of Landmarks by Descriptor Vector Exchange
0 of 13 row(s) selected.
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