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Few-shot traffic sign recognition with clustering inductive bias and random neural network

  • Published:2020-04 Issue: Volume:100 Page:107160
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Zhou Shichao,Deng Chenwei,Piao Zhengquan,Zhao Baojun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference38 articles.

1. Traffic sign detection via interest region extraction;Salti;Pattern Recognit.,2015

2. An overview of traffic sign detection and classification methods;Saadna;Int. J. Multimedia Inf. Retr.,2017

3. Histograms of oriented gradients for human detection;Dalal,2005

4. An efficient method for traffic sign recognition based on extreme learning machine;Huang;IEEE Trans. Cybernet.,2016

5. Real-time detection and recognition of road traffic signs;Greenhalgh;IEEE Trans. Intell. Trans. Syst.,2012

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3. Review of a Comparative Survey on the Detection and Classification of Traffic Signs;2023 7th IEEE Congress on Information Science and Technology (CiSt);2023-12-16

4. TSDet: A new method for traffic sign detection based on YOLOv5‐SwinT;IET Image Processing;2023-11-16

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