From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data

Current face recognition systems robustly recognize identities across a wide variety of imaging conditions. In these systems recognition is performed via classification into known identities obtained from supervised identity annotations. There are two problems with this current paradigm: (1) current...

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Veröffentlicht in:	arXiv.org 2018-07
Hauptverfasser:	Castro, Daniel C, Nowozin, Sebastian
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Bayesian analysis Classification Face recognition Machine learning Object recognition
Online-Zugang:	Volltext
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