A Unified Framework for Coarse-to-Fine Recognition of Traffic Signs using Bayesian Network and Visual Attributes-Reference-Cited by-同舟云学术

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A Unified Framework for Coarse-to-Fine Recognition of Traffic Signs using Bayesian Network and Visual Attributes

Published:2015 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th International Conference on Computer Vision Theory and Applications
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Author:

Habibi Aghdam Hamed¹,Jahani Heravi Elnaz¹,Puig Domenec²

Affiliation:

1. University Rovira i Virgili, Spain

2. Rovira i Virgili University, Spain

Publisher

SCITEPRESS - Science and and Technology Publications

Cited by 4 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. Intelligent Transport System: Classification of Traffic Signs Using Deep Neural Networks in Real Time;Lecture Notes in Mechanical Engineering;2021

2. Classification of Traffic Signs;Guide to Convolutional Neural Networks;2017

3. Traffic Sign Detection and Recognition;Guide to Convolutional Neural Networks;2017

4. A Practical and Highly Optimized Convolutional Neural Network for Classifying Traffic Signs in Real-Time;International Journal of Computer Vision;2016-09-21

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