Deeply learned face representations are sparse, selective, and robust

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 07-12-June-2015, Issue , 2015, Pages 2892-2900

  Sun, Yi ^a   Wang, Xiaogang ^a,b   Tang, Xiaoou ^a,b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL ACTIVATION; COMPUTER VISION; CONVOLUTION; FACE RECOGNITION;

CONVOLUTIONAL NETWORKS; DISCRIMINATIVE POWER; EMPIRICAL STUDIES; FACE REPRESENTATIONS; NEURAL ACTIVATION; NEURAL RESPONSE; RECOGNITION ACCURACY; STATE OF THE ART;

PATTERN RECOGNITION;

EID: 84946769681     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298907     Document Type: Conference Paper

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