Optimizing Convolution Operations for YOLOv4-based Object Detection on GPU

Optimizing Convolution Operations for YOLOv4-based Object Detection on GPU

Real-time object detection is crucial for autonomous vehicles, and YOLO (You Only Look Once) algorithms have demonstrated their effectiveness for this purpose. This study examines the performance of YOLOv4 [3] for real-time object detection on an embedded architecture. We focus on optimizing the com...

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Bibliographic Details
Main Authors: Guerrouj Fatima Zahra, Rodríguez Flórez Sergio, El Ouardi Abdelhafid, Abouzahir Mohamed, Ramzi Mustapha
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:ITM Web of Conferences
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_04008.pdf
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