Squeeze-and-Excitation Networks

Convolutional neural networks are built upon the convolution operation, which extracts informative features by fusing spatial and channel-wise information together within local receptive fields. In order to boost the representational power of a network, several recent approaches have shown the benef...

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Bibliographic Details

Published in:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 7132 - 7141
Main Authors:	Hu, Jie, Shen, Li, Sun, Gang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2018
Subjects:	Adaptation models Computational modeling Computer architecture Convolution Convolutional codes Stacking Task analysis
ISSN:	1063-6919
Online Access:	Get full text
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