LSR-YOLO: a lightweight and fast model for retail products detection

Advanced computer vision techniques, particularly deep learning–based object detection, are enhancing the accuracy and efficiency of product identification in retail settings, driving the integration of intelligent systems within urban environments and smart cities. To address the high computational...

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Bibliographic Details

Main Authors:	Zhao, Yawen, Solihin, Mahmud Iwan, Yang, Defu, Cai, Bingyu, Chow, Li Sze, Handayani, Dini Oktarina Dwi, Prabuwono, Anton Satria
Format:	Article
Language:	en en en
Published:	Public Library of Science (PLoS) 2025
Subjects:	QA76 Computer software
Online Access:	http://irep.iium.edu.my/125215/1/125215_LSR-YOLO.pdf http://irep.iium.edu.my/125215/2/125215_LSR-YOLO_SCOPUS.pdf http://irep.iium.edu.my/125215/3/125215_LSR-YOLO_WOS.pdf http://irep.iium.edu.my/125215/ https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0334216
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