Article
Efficient Computer Vision for Embedded Systems
IEEE Computer
Document Type
Article
Publication Date
4-1-2022
Pages
15-19
Disciplines
Abstract
The winners, as well as the organizers and sponsors of the IEEE Low-Power Computer Vision Challenge, share their insights into making computer vision (CV) more efficient for running on mobile or embedded systems. As CV (and more generally, artificial intelligence) is deployed widely on the Internet of Things, efficiency will become increasingly important.
Identifier
10.1109/MC.2022.3145677
Creative Commons License
Creative Commons Attribution-Noncommercial-No Derivative Works 3.0
Copyright Statement
George K Thiruvathukal,Yung-Hsiang Lu . © IEEE, 2022. This is the author's version of the work. It is posted here by permission of IEEE for personal use, not for redistribution. The definitive version was published in IEEE, vol. 55, April 2022 http://dx.doi.10.1109/MC.2022.3145677
Citation Information
G. K. Thiruvathukal and Y.-H. Lu, "Efficient Computer Vision for Embedded Systems," in Computer, vol. 55, no. 4, pp. 15-19, April 2022, doi: 10.1109/MC.2022.3145677
George K Thiruvathukal,Yung-Hsiang Lu . © IEEE, 2022. This is the author's version of the work. It is posted here by permission of IEEE for personal use, not for redistribution. The definitive version was published in IEEE, vol. 55, April 2022 http://dx.doi.10.1109/MC.2022.3145677