Contextual Face Recognition with a Nested-Hierarchical Nonparametric Identity Model

    arXiv: Computer Vision and Pattern Recognition, Volume abs/1811.07753, 2018.

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    Abstract:

    Current face recognition systems typically operate via classification into known identities obtained from supervised identity annotations. There are two problems with this paradigm: (1) current systems are unable to benefit from often abundant unlabelled data; and (2) they equate successful recognition with labelling a given input image. ...More

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