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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Vydané v:	Engineering applications of artificial intelligence Ročník 149; s. 110415
Hlavní autori:	Sun, Xudong, Wang, Yu, Liu, Zhanglin, Gao, Shaoxuan, He, Wenbo, Tong, Chao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.06.2025
Predmet:	Model adaptation Model compression Object detection Model compression Model adaptation Object detection
ISSN:	0952-1976
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