Vietnamese Traffic Sign Recognition Using Deep Learning-Reference-Cited by-同舟云学术

Vietnamese Traffic Sign Recognition Using Deep Learning

Published:2024-02-23 Issue: Volume: Page:30-35
ISSN:
Container-title:Proceedings of the 2024 9th International Conference on Intelligent Information Technology
language:
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Author:

Nguyen Dinh Thuan¹^ORCID,Phan Minh Khanh²^ORCID,Tran Phuong-Nam²^ORCID,Dang Duc Ngoc Minh³^ORCID

Affiliation:

1. Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Vietnam

2. Dept. of Information Technology Specialization, FPT University, Vietnam

3. Dept. of Computing Fundamental, FPT University, Vietnam

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3654522.3654528

Reference20 articles.

1. DFR-TSD: A Deep Learning Based Framework for Robust Traffic Sign Detection Under Challenging Weather Conditions

2. Kendrick Boyd, Kevin H Eng, and C David Page. 2013. Area under the precision-recall curve: point estimates and confidence intervals. In Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III 13. Springer, 451–466.

3. Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, and Jian Sun. 2021. YOLOX: Exceeding YOLO Series in 2021. arXiv preprint arXiv:2107.08430 (2021).

4. Wang Hao and Song Zhili. 2020. Improved mosaic: Algorithms for more complex images. In Journal of Physics: Conference Series, Vol. 1684. IOP Publishing, 012094.

5. Deep Residual Learning for Image Recognition

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1. Performance Comparison in Traffic Sign Recognition Using Deep Learning;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024