Rethinking the Inception Architecture for Computer Vision

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

Volumn 2016-December, Issue , 2016, Pages 2818-2826

  Szegedy, Christian ^a   Vanhoucke, Vincent ^b   Ioffe, Sergey ^b   Shlens, Jon ^b   Wojna, Zbigniew ^b  

^a GOOGLE INC   (United States)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIG DATA; COMPUTATIONAL EFFICIENCY; CONVOLUTION; ERRORS; PATTERN RECOGNITION;

COMPUTATIONAL COSTS; CONVOLUTIONAL NETWORKS; LABELED DATA; MOBILE VISION; MODEL SIZE; SINGLE FRAMES; STATE OF THE ART; TEST SETS;

COMPUTER VISION;

EID: 84986296808     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.308     Document Type: Conference Paper

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