MTSDet: multi-scale traffic sign detection with attention and path aggregation-Reference-Cited by-同舟云学术

MTSDet: multi-scale traffic sign detection with attention and path aggregation

Published:2022-04-14 Issue:1 Volume:53 Page:238-250
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Wei Hongyang,Zhang Qianqian,Qian Yurong^ORCID,Xu Zheng,Han Jingjing

Funder

the National Science Foundation of China

the National Natural Science Foundation of China

Creative Research Groups of Higher Education of Xinjiang Uygur Autonomous Region

Autonomous Region Graduate Innovation Project

Tianshan Innovation Team Plan Project of Xinjiang Uygur Autonomous Region

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03459-7.pdf

Reference41 articles.

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2. Gao XW, Podladchikova L, Shaposhnikov D, et al. (2006) Recognition of traffic signs based on their colour and shape features extracted using human vision models[J]. J Vis Commun Image Represent 17 (4):675–685

3. Ellahyani A, Ansari ME, Jaafari IE (2016) Traffic sign detection and recognition based on random forests[J]. Appl Soft Comput 46:805–815

4. Ren S, He K, Girshick R, et al. (2015) Faster r-cnn: towards real-time object detection with region proposal networks[J]. Adv Neural Inform Process Syst 28:91–99

5. He K, Gkioxari G, Dollár P et al (2017) Mask r-cnn[C]. In: Proceedings of the IEEE international conference on computer vision, pp 2961–2969

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