DSR-YOLO: A lightweight and efficient YOLOv8 model for enhanced pedestrian detection

DSR-YOLO: A lightweight and efficient YOLOv8 model for enhanced pedestrian detection

This paper presents DSR-YOLO, a pedestrian detection network that addresses critical challenges, such as scale variations and complex backgrounds. Built on the lightweight YOLOv8n architecture, it incorporates DCNv4 modules to enhance the detection rates and reduce missed detections by effectively l...

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Bibliographic Details
Main Authors: Mustapha Oussouaddi, Omar Bouazizi, Aimad El mourabit, Zine el Abidine Alaoui Ismaili, Yassine Attaoui, Mohamed Chentouf
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2025-01-01
Series:Cognitive Robotics
Subjects:
Pedestrian detection
DCNv4
SimAM
YOLOv8
RFB
WIoUv3
Online Access:http://www.sciencedirect.com/science/article/pii/S2667241325000096
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http://www.sciencedirect.com/science/article/pii/S2667241325000096

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