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Can I read Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge on EtoBox?
Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge by Xiao Hu; Ziteng Jiao; Ayden Kocher; Zhenyu Wu; Junjie Liu; James C. Davis; George K. Thiruvathukal; Yung-Hsiang Lu is a Computer Science article available to read on EtoBox.
What is Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge about?
## We organized the 2021 IEEE Low-Power Computer Vision Challenge to advance state-of-the-art solutions in lowpower computer vision. Here, we examine the winning teams' development patterns and design decisions, focusing on their techniques to balance power consumption and accuracy to provide guidelines for future competitions. ## C ompetitions drive innovation and promote creativity. The DARPA Grand Challenge opened the era of autonomous driving; the Ansari X Prize opened the era of reusable spacecraft. The same positive influence of competition applies to the field of computer vision. The Face Recognition Technology
Who reads Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Xiao Hu; Ziteng Jiao; Ayden Kocher; Zhenyu Wu; Junjie Liu; James C. Davis; George K. Thiruvathukal; Yung-Hsiang Lu
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Published
- 2023
- Language
- EN
- Field
- Computer Science (Physical Sciences)