FaceNet: A unified embedding for face recognition and clustering

Despite significant recent advances in the field of face recognition [10, 14, 15, 17], implementing face verification and recognition efficiently at scale presents serious challenges to current approaches. In this paper we present a system, called FaceNet, that directly learns a mapping from face im...

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Vydané v:	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) s. 815 - 823
Hlavní autori:	Schroff, Florian, Kalenichenko, Dmitry, Philbin, James
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2015
Predmet:	Accuracy Artificial neural networks Clustering Computer vision Conferences Euclidean geometry Face Face recognition Pattern recognition Principal component analysis Similarity Tasks Training
ISSN:	1063-6919, 1063-6919
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