Towards understanding residual and dilated dense neural networks via convolutional sparse coding

Abstract Convolutional neural network (CNN) and its variants have led to many state-of-the-art results in various fields. However, a clear theoretical understanding of such networks is still lacking. Recently, a multilayer convolutional sparse coding (ML-CSC) model has been proposed and proved to eq...

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Veröffentlicht in:	National science review Jg. 8; H. 3; S. nwaa159
Hauptverfasser:	Zhang, Zhiyang, Zhang, Shihua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	China Oxford University Press 01.03.2021
Schlagworte:	Information Science convolutional sparse coding dense connection mixed-scale dense neural network dilated convolution convolutional neural network residual neural network
ISSN:	2095-5138, 2053-714X, 2053-714X
Online-Zugang:	Volltext
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