IIRNet: A lightweight deep neural network using intensely inverted residuals for image recognition

Deep neural networks have achieved great success in many tasks of pattern recognition. However, large model size and high cost in computation limit their applications in resource-limited systems. In this paper, our focus is to design a lightweight and efficient convolutional neural network architect...

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Bibliographic Details

Published in:	Image and vision computing Vol. 92; p. 103819
Main Authors:	Li, Yuyuan, Zhang, Dong, Lee, Dah-Jye
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2019
Subjects:	Computation complexity Convolutional neural network (CNN) Image recognition Lightweight CNN Low-redundancy Model size Lightweight CNN Computation complexity Image recognition Model size Low-redundancy Convolutional neural network (CNN)
ISSN:	0262-8856, 1872-8138
Online Access:	Get full text
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