Road Sign Detection Using Variants of YOLO and R-CNN: An Analysis from the Perspective of Bangladesh-Reference-Cited by-同舟云学术

Road Sign Detection Using Variants of YOLO and R-CNN: An Analysis from the Perspective of Bangladesh

Published:2021-12-04 Issue: Volume: Page:555-565
ISSN:2367-4512
Container-title:Lecture Notes on Data Engineering and Communications Technologies
language:
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Author:

Lima Aklima Akter,Kabir Md. Mohsin,Das Sujoy Chandra,Hasan Md. Nahid,Mridha M. F.^ORCID

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-6636-0_42

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3. Redmon J, Farhadi A (2018) Yolov3: an incremental improvement. arXiv preprint arXiv:1804.02767

4. Long X, Deng K, Wang G, Zhang Y, Dang Q, Gao Y et al (2020) PP-YOLO: an effective and efficient implementation of object detector. arXiv preprint arXiv:2007.12099

5. Benjdira B, Khursheed T, Koubaa A, Ammar A, Ouni K (2019) Car detection using unmanned aerial vehicles: comparison between faster R-CNN and Yolov3. In: 2019 1st International conference on unmanned vehicle systems-Oman (UVS). IEEE, pp 1–6

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