Research on Traffic Sign Detection Based on Improved YOLOv8

Journal of Computer and Communications

ISSN Print: 2327-5219
ISSN Online: 2327-5227
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Citations

"Research on Traffic Sign Detection Based on Improved YOLOv8"
written by Zhongjie Huang, Lintao Li, Gerd Christian Krizek, Linhao Sun,
published by Journal of Computer and Communications, Vol.11 No.7, 2023

has been cited by the following article(s):

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[13]	A YOLOv8-based approach for multi-class traffic sign detection
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[17]	Deciphering the past: enhancing Assyrian Cuneiform recognition with YOLOv8 object detection
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[18]	A Traffic Sign Detection Network based on Dynamic Focusing Loss and Lightweight Convolution
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