Generate Realistic Traffic Sign Image Using Deep Convolutional Generative Adversarial Networks

Liu, Yan-Ting; Chen, Rung-Ching; Dewi, Christine

Generate Realistic Traffic Sign Image Using Deep Convolutional Generative Adversarial Networks

conference contribution

posted on 2024-07-18, 03:33 authored by Yan-Ting Liu, Rung-Ching Chen, Christine Dewi

Generate Realistic Traffic Sign Image Using Deep Convolutional Generative Adversarial Networks

History

Volume

00

Pagination

1-6

Location

Aizuwakamatsu, Fukushima, Japan

Publisher DOI

https://doi.org/10.1109/DSC49826.2021.9346266

Start date

2021-01-30

End date

2021-02-02

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

DSC 2021 : Proceedings of the IEEE Conference on Dependable and Secure Computing

Event

Dependable and Secure Computing. Conference (2021 : Aizuwakamatsu, Fukushima, Japan)

Publisher

IEEE

Place of publication

Piscataway, N.J.

Publication URL

http://dx.doi.org/10.1109/dsc49826.2021.9346266

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Keywords

Computer Science Computer Science, Information Systems DCGAN GAN Science & Technology Synthetic Images Technology Traffic Sign detection

Generate Realistic Traffic Sign Image Using Deep Convolutional Generative Adversarial Networks

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