Low-Power Computer Vision: Status, Challenges, and Opportunities

@article{Alyamkin2019LowPowerCV,
  title={Low-Power Computer Vision: Status, Challenges, and Opportunities},
  author={Sergei Alyamkin and Matthew Ardi and Alexander C. Berg and Achille Brighton and Bo Chen and Yiran Chen and Hsin-Pai Cheng and Zichen Fan and Chen Feng and Bosheng Fu and Kent Gauen and Abhinav Goel and Alexander Goncharenko and Xuyang Guo and Soonhoi Ha and Andrew Howard and Xiao Hu and Yuanjun Huang and Donghyun Kang and Jaeyoun Kim and Jong Gook Ko and Alexander Kondratyev and Junhyeok Lee and Seungjae Lee and Suwoong Lee and Zi Cheng Li and Zhiyu Liang and Juzheng Liu and Xin Liu and Charles A Stanley and Yung-Hsiang Lu and Deeptanshu Malik and Hong Hanh Nguyen and Eunbyung Park and Denis Repin and Liang Shen and Sheng Tao and Fei Sun and David Svitov and George K. Thiruvathukal and Baiwu Zhang and Jingchi Zhang and Xiaopeng Zhang and Shaojie Zhuo},
  journal={IEEE Journal on Emerging and Selected Topics in Circuits and Systems},
  year={2019},
  volume={9},
  pages={411-421}
}
Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisions, and some of these systems have limited energy (such as unmanned aerial vehicles also called drones and mobile robots). These systems rely on batteries, and energy efficiency is critical. This paper serves the following two main purposes. First… CONTINUE READING

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