Low-Power Computer Vision

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Product Details

Publisher,Chapman & Hall
Publication Date,
Format, Hardcover
Weight, 771.11 g
No. of Pages, 413

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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