Comparative analysis of neural network models performance on low-power devices for a real-time object detection task

Comparative analysis of neural network models performance on low-power devices for a real-time object detection task

A computer vision based real-time object detection on low-power devices is economically attractive, yet a technically challenging task. The paper presents results of benchmarks on popular deep neural network models, which are often used for this task. The results of experiments provide insights into...

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Bibliographic Details
Main Authors: A. Zagitov, E. Chebotareva, A. Toschev, E. Magid
Format: Article
Language:English
Published: Samara National Research University 2024-04-01
Series:Компьютерная оптика
Subjects:
computer vision
image analysis
object detection
deep learning
benchmarking
optimization techniques
Online Access:https://www.computeroptics.ru/eng/KO/Annot/KO48-2/480211e.html
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