Deep Learning Face Representation from Predicting 10,000 Classes

This paper proposes to learn a set of high-level feature representations through deep learning, referred to as Deep hidden IDentity features (DeepID), for face verification. We argue that DeepID can be effectively learned through challenging multi-class face identification tasks, whilst they can be...

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Bibliographic Details
Published in:	2014 IEEE Conference on Computer Vision and Pattern Recognition pp. 1891 - 1898
Main Authors:	Sun, Yi, Wang, Xiaogang, Tang, Xiaoou
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.06.2014
Subjects:	Activation Bayes methods Biological neural networks Classifiers Computer vision deep learning Face face verification Feature extraction Joints Learning Neurons Pattern recognition Representations Tasks Training
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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