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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Veröffentlicht in:	Image and vision computing Jg. 92; S. 103819
Hauptverfasser:	Li, Yuyuan, Zhang, Dong, Lee, Dah-Jye
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2019
Schlagworte:	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-Zugang:	Volltext
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