2018 Low-Power Image Recognition Challenge

2018 Low-Power Image Recognition Challenge

The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcomputing.ieee.org/lpirc) is an annual competition started in 2015. The competition identifies the best technologies that can classify and detect objects in images efficiently (short execution time and low energy consumption) and acc...

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Hauptverfasser: Alyamkin, Sergei, Ardi, Matthew, Brighton, Achille, Berg, Alexander C, Chen, Yiran, Cheng, Hsin-Pai, Chen, Bo, Fan, Zichen, Feng, Chen, Fu, Bo, Gauen, Kent, Go, Jongkook, Goncharenko, Alexander, Guo, Xuyang, Nguyen, Hong Hanh, Howard, Andrew, Huang, Yuanjun, Kang, Donghyun, Kim, Jaeyoun, Kondratyev, Alexander, Lee, Seungjae, Lee, Suwoong, Lee, Junhyeok, Liang, Zhiyu, Liu, Xin, Liu, Juzheng, Li, Zichao, Lu, Yang, Lu, Yung-Hsiang, Malik, Deeptanshu, Park, Eunbyung, Repin, Denis, Sheng, Tao, Shen, Liang, Sun, Fei, Svitov, David, Thiruvathukal, George K, Zhang, Baiwu, Zhang, Jingchi, Zhang, Xiaopeng, Zhuo, Shaojie
Format: Artikel
Sprache:eng
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Computer Science - Computer Vision and Pattern Recognition
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Zusammenfassung:The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcomputing.ieee.org/lpirc) is an annual competition started in 2015. The competition identifies the best technologies that can classify and detect objects in images efficiently (short execution time and low energy consumption) and accurately (high precision). Over the four years, the winners' scores have improved more than 24 times. As computer vision is widely used in many battery-powered systems (such as drones and mobile phones), the need for low-power computer vision will become increasingly important. This paper summarizes LPIRC 2018 by describing the three different tracks and the winners' solutions.
DOI:10.48550/arxiv.1810.01732