On-sensor binarized CNN inference with dynamic model swapping in pixel processor arrays

On-sensor binarized CNN inference with dynamic model swapping in pixel processor arrays

Many types of Convolutional Neural Network (CNN) models and training methods have been proposed in recent years aiming to provide efficiency for embedded and edge devices with limited computation and memory resources. The wide variety of architectures makes this a complex task that has to balance ge...

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Bibliographic Details
Main Authors: Yanan Liu, Laurie Bose, Rui Fan, Piotr Dudek, Walterio Mayol-Cuevas
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Neuroscience
Subjects:
on-sensor computing
SCAMP vision system
pixel processor array
embedded computer vision
convolutional neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.909448/full

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https://www.frontiersin.org/articles/10.3389/fnins.2022.909448/full

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