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An Energy-Efficient Reconfigurable AI-Based Object Detection and Tracking Processor Supporting Online Object Learning

IEEE SOLID-STATE CIRCUITS LETTERS(2022)

Cited 2|Views2
Key words
Random access memory,Object detection,Engines,Computer architecture,Artificial neural networks,Control systems,Micromechanical devices,Energy efficient,neural network (NN),object detection and tracking,processor,reconfigurable
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