Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

•We further develop the unravelled view of ResNets, which helps us better understand their behaviours. We demonstrate this in the context of a training process, which is the key difference from the original version 1.•We propose a group of relatively shallow convolutional networks based on our new u...

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Bibliographic Details

Published in:	Pattern recognition Vol. 90; pp. 119 - 133
Main Authors:	Wu, Zifeng, Shen, Chunhua, van den Hengel, Anton
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.06.2019
Subjects:	Image classification Residual network Semantic segmentation Semantic segmentation Residual network Image classification
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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