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Low-Power Computer Vision

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Low-Power Computer Vision

EnglishHardback
Taylor & Francis Ltd
EAN: 9780367744700
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Detailed information

Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.

EAN 9780367744700
ISBN 0367744708
Binding Hardback
Publisher Taylor & Francis Ltd
Publication date February 23, 2022
Pages 436
Language English
Dimensions 234 x 156
Country United Kingdom
Illustrations 58 Tables, black and white; 61 Line drawings, color; 39 Line drawings, black and white; 1 Halftones, color; 62 Illustrations, color; 39 Illustrations, black and white
Editors Chen Yiran; Chen, Bo; Kim, Jaeyoun; Lu Yung-Hsiang; Thiruvathukal George K.
Series Chapman & Hall/CRC Computer Vision
Manufacturer information
The manufacturer's contact information is currently not available online, we are working intensively on the axle. If you need information, write us on [email protected], we will be happy to provide it.

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