Search

Select theme:

Shopping cart

Subtotal
$97.00
View cart Checkout

Saved articles

You have not yet added any article to your bookmarks!

Browse articles
Newsletter image

Subscribe to the Newsletter

Join 10k+ people to get notified about new posts, news and tips.

Do not worry we don't spam!

GDPR Compliance

We use cookies to ensure you get the best experience on our website. By continuing to use our site, you accept our use of cookies, Privacy Policy, and Terms of Service.

  • Home
Low-Power Computer Vision

Low-Power Computer Vision

By George K. Thiruvathukal, Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen & Bo Chen Software 22/02/2022

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.

Read More
More Books from George K. Thiruvathukal, Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen & Bo Chen
Codename Revolution Steven E. Jones & George K. Thiruvathukal
Codename Revolution
Intermediate C Programming Yung-Hsiang Lu & George K. Thiruvathukal
Intermediate C Programming
Low-Power Computer Vision George K. Thiruvathukal, Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen & Bo Chen
Low-Power Computer Vision
Software Engineering for Science Jeffrey C. Carver, Neil P. Chue Hong & George K. Thiruvathukal
Software Engineering for Science
Comments