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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 149; S. 110415
Hauptverfasser:	Sun, Xudong, Wang, Yu, Liu, Zhanglin, Gao, Shaoxuan, He, Wenbo, Tong, Chao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2025
Schlagworte:	Model adaptation Model compression Object detection Model compression Model adaptation Object detection
ISSN:	0952-1976
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!