Wave interference network with a wave function for traffic sign recognition

Wave interference network with a wave function for traffic sign recognition

In this paper, we successfully combine convolution with a wave function to build an effective and efficient classifier for traffic signs, named the wave interference network (WiNet). In the WiNet, the feature map extracted by the convolutional filters is refined into many entities from an input imag...

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Bibliographic Details
Main Authors: Qiang Weng, Dewang Chen, Yuandong Chen, Wendi Zhao, Lin Jiao
Format: Article
Language:English
Published: AIMS Press 2023-10-01
Series:Mathematical Biosciences and Engineering
Subjects:
traffic sign recognition
wave function
deep neural networks
image classifier
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023851?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023851?viewType=HTML

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