SlimDL: Deploying ultra-light deep learning model on sweeping robots

Advanced object detection methods have yielded impressive progress in recent years. However, the computational constraints of edge mobile devices present significant deployment challenges for state-of-the-art algorithms. We propose a deep learning deployment framework with two stages: model adaptati...

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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 149; p. 110415
Main Authors:	Sun, Xudong, Wang, Yu, Liu, Zhanglin, Gao, Shaoxuan, He, Wenbo, Tong, Chao
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.06.2025
Subjects:	Model adaptation Model compression Object detection Model compression Model adaptation Object detection
ISSN:	0952-1976
Online Access:	Get full text
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