Traffic Sign Recognition Using Convolutional Neural Network and Skipped Layer Architecture-Reference-Cited by-同舟云学术

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Traffic Sign Recognition Using Convolutional Neural Network and Skipped Layer Architecture

Published:2021-09-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 16th International Conference on Industrial and Information Systems (ICIIS)
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Author:

Fernando W. H. D.,Sotheeswaran S.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9660619/9660632/09660676.pdf?arnumber=9660676

Reference14 articles.

1. How Does Batch Normalization Help Optimization?;santurkar;32nd Conference on Neural Information Processing Systems (NeurIPS 2018),2018

2. ImageNet classification with deep convolutional neural networks;sutskever;Journal of Communications of the ACM,2017

3. A semi-supervised convolutional neural network based on subspace representation for image classification

4. Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition

5. Automatic road traffic signs detection and recognition using ‘You Only Look Once’ version 4 (YOLOv4)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning Technique to Analyze and Perceive Traffic Sign in the Intelligent Transport System;Information and Communication Technology for Competitive Strategies (ICTCS 2022);2023

2. A Deep Learning Approach Towards Building Intelligent Transport System;2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA);2022-09-08

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