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The 2020 Low-Power Computer Vision Challenge

Xiao Hu,Ming-Ching Chang, Yuwei Chen,Rahul Sridhar,Zhenyu Hu,Yunhe Xue,Zhenyu Wu,Pengcheng Pi,Jiayi Shen,Jianchao Tan,Xiangru Lian,Ji Liu,Zhangyang Wang,Chia-Hsiang Liu,Yu-Shin Han,Yuan-Yao Sung,Yi Lee,Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee,Shengwen Liang,Zerun Wang,Guiguang Ding,Gang Zhang,Teng Xi,Yubei Chen,Han Cai,Ligeng Zhu,Zhekai Zhang,Song Han,Seonghwan Jeong, YoungMin Kwon,Tianzhe Wang, Jeffery Pan

2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS)（2021）

Cited 3|Views63
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Abstract
AI computer vision has advanced significantly in recent years. IoT and edge computing devices such as mobile phones have become the primary computing platform for many end users. Mobile devices such as robots and drones that rely on batteries demand for energy efficient computation. Since 2015, the IEEE Annual International Low-Power Computer Vision Challenge (LPCVC) was held to identify energy-ef...
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Key words
Computer vision,Visualization,Conferences,Energy efficiency,Mobile handsets,Computational efficiency,Artificial intelligence
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