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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Bibliographic Details
Published in:arXiv.org 2018-10
Main Authors: Alyamkin, Sergei, Ardi, Matthew, Brighton, Achille, Berg, Alexander C, Chen, Yiran, Hsin-Pai, Cheng, Chen, Bo, Fan, Zichen, Chen, Feng, 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: Article
Language:English
Subjects:
Batteries
Cameras
Competition
Computer vision
Energy consumption
Image classification
Image detection
Object recognition
Online Access:Get full text
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Summary: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.
ISSN:2331-8422