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Unsupervised Facial Landmark Detection On 5

Metrics

NME

Results

Performance results of various models on this benchmark

Model Name
NME
Paper TitleRepository
Lorenz2019unsupervised11.41Unsupervised Part-Based Disentangling of Object Shape and Appearance
IMM8.74Unsupervised Learning of Object Landmarks through Conditional Image Generation
SCOPS15.01SCOPS: Self-Supervised Co-Part Segmentation
AutoLink5.24AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
UPSDAS12.26Unsupervised Part Segmentation through Disentangling Appearance and Shape-
ULD31.3Unsupervised learning of object landmarks by factorized spatial embeddings
DFF31.30Deep Feature Factorization For Concept Discovery
LMDIS-REP40.82Unsupervised Discovery of Object Landmarks as Structural Representations
GANSeg6.18GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation
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Unsupervised Facial Landmark Detection On 5 | SOTA | HyperAI