Densely Connected Convolutional Networks

Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output. In this paper, we embrace this observation and introduce the Dense Convolutional N...

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Bibliographic Details

Published in:	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 2261 - 2269
Main Authors:	Huang, Gao, Liu, Zhuang, Van Der Maaten, Laurens, Weinberger, Kilian Q.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2017
Subjects:	Convolution Convolutional codes Network architecture Neural networks Road transportation Training
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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