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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Vydáno v:	Image and vision computing Ročník 92; s. 103819
Hlavní autoři:	Li, Yuyuan, Zhang, Dong, Lee, Dah-Jye
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.12.2019
Témata:	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
On-line přístup:	Získat plný text
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