A Binary-Feature-Based Object Recognition Accelerator With 22 M-Vector/s Throughput and 0.68 G-Vector/J Energy-Efficiency for Full-HD Resolution
Leibo Liu ;   Member,IEEE;   Wenping Zhu ;   Member,IEEE;   Shouyi Yin;   Member,IEEE;   Shaojun Wei;   Member,IEEE
刊名IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
2019
卷号38期号:7页码:1265-1277
内容类型期刊论文
源URL[http://ir.semi.ac.cn/handle/172111/29493]  
专题半导体研究所_半导体超晶格国家重点实验室
推荐引用方式
GB/T 7714
Leibo Liu ; Member,IEEE; Wenping Zhu ; Member,IEEE; Shouyi Yin; Member,IEEE; Shaojun Wei; Member,IEEE. A Binary-Feature-Based Object Recognition Accelerator With 22 M-Vector/s Throughput and 0.68 G-Vector/J Energy-Efficiency for Full-HD Resolution[J]. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,2019,38(7):1265-1277.
APA Leibo Liu ; Member,IEEE; Wenping Zhu ; Member,IEEE; Shouyi Yin; Member,IEEE; Shaojun Wei; Member,IEEE.(2019).A Binary-Feature-Based Object Recognition Accelerator With 22 M-Vector/s Throughput and 0.68 G-Vector/J Energy-Efficiency for Full-HD Resolution.IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,38(7),1265-1277.
MLA Leibo Liu ; Member,IEEE; Wenping Zhu ; Member,IEEE; Shouyi Yin; Member,IEEE; Shaojun Wei; Member,IEEE."A Binary-Feature-Based Object Recognition Accelerator With 22 M-Vector/s Throughput and 0.68 G-Vector/J Energy-Efficiency for Full-HD Resolution".IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 38.7(2019):1265-1277.
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