Attention-aware CNN model for Traffic Signs Classification-Reference-Cited by-同舟云学术

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Attention-aware CNN model for Traffic Signs Classification

Published:2022-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Cloud Computing, Big Data Applications and Software Engineering (CBASE)
language:
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Author:

Gu Xiangsheng¹,Lang Qiuyi²,Lin Fu³,Wang Pengfei⁴

Affiliation:

1. University of California,Donald Bren School of Information & Computer Science,Irvine,USA

2. Queen’s University Belfast,Computer Science,Belfast,UK

3. York University, Canada Leicester International Institute, Dalian University of Technology,Lassonde School of Engineering,Panjin,China

4. Dalian University of Technology,Leicester International Institute,Panjin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10092532/10092535/10092699.pdf?arnumber=10092699

Reference16 articles.

1. Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

2. Visualizing and comparing AlexNet and VGG using deconvolutional layers;yu;Proceedings of the 33 rd International Conference on Machine Learning,2016

3. AlextNet Architecture. AlexNet – ImageNet Classification with Deep Convolutional Neural Networks;hassan;Neurohive,2018

4. The German Traffic Sign Recognition Benchmark: A multi-class classification competition;houben;International Joint Conference on Neural Networks,2011

5. Difference between AlexNet, VGGNet, ResNet and Inception;answer,2019

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