Low-power computer vision : improve the efficiency of artificial intelligence / edited by George K. Thiruvathukal, Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen, Bo Chen.
Material type: TextPublication details: Boca Raton CRC Press 2022Edition: First editionDescription: pages cmISBN:- 9780367744700
- 9780367755287
- 006.37 23/eng/20211028 THI
Item type | Current library | Home library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Book | Dept. of Computer Science Reference | Dept. of Computer Science | 006.37 THI (Browse shelf(Opens below)) | Available | DCS5044 |
Includes bibliographical references and index.
"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"--
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