Title | ||
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Three Years Of Low-Power Image Recognition Challenge: Introduction To Special Session |
Abstract | ||
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Reducing power consumption has been one of the most important goals since the creation of electronic systems. Energy efficiency is increasingly important as battery-powered systems (such as smartphones, drones, and body cameras) are widely used. It is desirable using the on-board computers to recognize objects in the images captured by these cameras. The Low-Power Image Recognition Challenge (LPIRC) is an annual competition started in 2015. The special session includes presentations given by the winners of the first three years of LPIRC. This paper explains the rules of the competition and the rationale, summarizes the teams' scores, and describes the lessons learned in the first three years. The paper suggests possible improvements of future challenges. |
Year | Venue | Keywords |
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2018 | PROCEEDINGS OF THE 2018 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE) | Low-Power Electronics, Computer Vision, Machine Intelligence |
Field | DocType | ISSN |
Object detection,Computer vision,Computer science,Efficient energy use,Electronic systems,Electronic design automation,Artificial intelligence,Drone,Energy consumption,Power consumption,Low-power electronics | Conference | 1530-1591 |
Citations | PageRank | References |
2 | 0.42 | 0 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kent Gauen | 1 | 12 | 2.81 |
Ryan Dailey | 2 | 9 | 2.02 |
Yung-Hsiang Lu | 3 | 2165 | 161.51 |
Eunbyung Park | 4 | 183 | 7.48 |
Wei Liu | 5 | 1519 | 103.13 |
Alexander C. Berg | 6 | 10554 | 630.24 |
Yiran Chen | 7 | 3344 | 259.09 |