南方科技大学知识苑(SUSTech KC): A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-Based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing

题名	A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-Based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing
作者	Li, Yixing 1; Liu, Zichuan 2; Liu, Wenye 2; Jiang, Yu 2; Wang, Yongliang 3; Goh, Wang Ling 2; Yu, Hao4 ; Ren, Fengbo 1
通讯作者	Li, Yixing
发表日期	2019-09
DOI	10.1109/TIE.2018.2875643
发表期刊	IEEE Transactions on Industrial Electronics 影响因子和分区
ISSN	1557-9948
卷号	66 期号:9页码:7407-7416
关键词	Application specific integrated circuits mobile applications neural network hardware real-time systems
相关链接	[IEEE记录]
收录类别	SCI ; EI
学校署名	其他
EI入藏号	20184406021794
EI主题词	Deep neural networks ; Timing circuits ; Computer aided design ; Edge computing ; Energy efficiency ; Internet of things ; Program processors ; Classification (of information) ; Computer graphics ; Graphics processing unit ; Interactive computer systems ; Computer architecture ; Computer graphics equipment ; Image coding ; Text processing
EI分类号	Ergonomics and Human Factors Engineering:461.4 ; Energy Conservation:525.2 ; Pulse Circuits:713.4 ; Semiconductor Devices and Integrated Circuits:714.2 ; Information Theory and Signal Processing:716.1 ; Computer Circuits:721.3 ; Computer Peripheral Equipment:722.2 ; Data Communication, Equipment and Techniques:722.3 ; Digital Computers and Systems:722.4 ; Computer Software, Data Handling and Applications:723 ; Computer Applications:723.5 ; Information Sources and Analysis:903.1 ; Information Retrieval and Use:903.3
ESI学科分类	ENGINEERING
来源库	IEEE
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8513982
引用统计	被引频次[WOS]：13
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/25263
专题	工学院_电子与电气工程系
作者单位	1.Arizona State Univ, Sch Comp Informat & Decis Syst Engn, Tempe, AZ 85281 USA 2.Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore 3.Verisilicon Corp, Shanghai 201203, Peoples R China 4.Southern Univ Sci & Technol China, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
推荐引用方式 GB/T 7714	Li, Yixing,Liu, Zichuan,Liu, Wenye,et al. A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-Based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing[J]. IEEE Transactions on Industrial Electronics,2019,66(9):7407-7416.
APA	Li, Yixing.,Liu, Zichuan.,Liu, Wenye.,Jiang, Yu.,Wang, Yongliang.,...&Ren, Fengbo.(2019).A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-Based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing.IEEE Transactions on Industrial Electronics,66(9),7407-7416.
MLA	Li, Yixing,et al."A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-Based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing".IEEE Transactions on Industrial Electronics 66.9(2019):7407-7416.