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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Vydané v:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition s. 7132 - 7141
Hlavní autori:	Hu, Jie, Shen, Li, Sun, Gang
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2018
Predmet:	Adaptation models Computational modeling Computer architecture Convolution Convolutional codes Stacking Task analysis
ISSN:	1063-6919
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