A generalized novel image forgery detection method using generative adversarial network-Reference-Cited by-同舟云学术

A generalized novel image forgery detection method using generative adversarial network

Published:2023-11-21 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Sharma Preeti,Kumar Manoj^ORCID,Sharma Hitesh Kumar

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17588-9.pdf

Reference26 articles.

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3. Feng D, Lu X, Lin X (2020) Deep detection for face manipulation. Commun Comput Inf Sci 1333:316–323. https://doi.org/10.1007/978-3-030-63823-8_37

4. Jay F, Renou J-P, Voinnet O, Navarro L (2017) Unpaired Image-to-image translation using cycle-consistent adversarial networks Jun-Yan. Proc IEEE Int Conf Comput Vis:183–202. [Online]. http://link.springer.com/10.1007/978-1-60327-005-2_13. Accessed Jul 2021

5. Wang Z et al (2021) Automatic inference of demographic parameters using generative adversarial networks. Mol Ecol Resour 21(8):2689–2705. https://doi.org/10.1111/1755-0998.13386

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