Detection of Traffic Sign Based on Improved YOLOv4
Author:
Affiliation:
1. Xinjiang University,School of Mechanical Engineering,Urumqi,China
2. Xinjiang Institute of Technology,Experimental Training Center,Aksu,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9778230/9778231/09778703.pdf?arnumber=9778703
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4. Traffic Sign Detection Using a Multi-Scale Recurrent Attention Network
5. Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild
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1. Enhancing Road Safety and ITS Efficiency: A Comprehensive Evaluation of Traffic Sign Detection using YOLOv8;2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS);2024-04-22
2. Deep Learning Based Traffic Sign Recognition Using YOLO Algorithm;Düzce Üniversitesi Bilim ve Teknoloji Dergisi;2024-01-26
3. Application of an Effective Hierarchical Deep-Learning-Based Object Detection Model Integrated with Image-Processing Techniques for Detecting Speed Limit Signs, Rockfalls, Potholes, and Car Crashes;Future Internet;2023-09-28
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