Rethinking the Inception Architecture for Computer Vision

Convolutional networks are at the core of most state of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains in various benchmarks. Although increased model size and computational cost tend...

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Bibliographic Details

Published in:	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 2818 - 2826
Main Authors:	Szegedy, Christian, Vanhoucke, Vincent, Ioffe, Sergey, Shlens, Jon, Wojna, Zbigniew
Format:	Conference Proceeding
Language:	English
Published:	IEEE 09.12.2016
Subjects:	Benchmark testing Computational efficiency Computational modeling Computer architecture Computer vision Convolution Training
ISSN:	1063-6919
Online Access:	Get full text
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