Deepfake detection of occluded images using a patch-based approach-Reference-Cited by-同舟云学术

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Deepfake detection of occluded images using a patch-based approach

Published:2023-08-05 Issue:5 Volume:29 Page:2669-2687
ISSN:0942-4962
Container-title:Multimedia Systems
language:en
Short-container-title:Multimedia Systems

Author:

Soleimani Mahsa,Nazari Ali,Moghaddam Mohsen Ebrahimi

Publisher

Springer Science and Business Media LLC

Subject

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

Link

https://link.springer.com/content/pdf/10.1007/s00530-023-01140-8.pdf

Reference34 articles.

1. Meena, K.B., Tyagi, V.: Image forgery detection: survey and future directions. In: Data, pp. 163–194. Springer, Engineering and applications (2019)

2. Akhtar, Z., Dasgupta, D., Banerjee, B.: Face authenticity: an overview of face manipulation generation, detection and recognition. SSRN Electron. J. (2019). https://doi.org/10.2139/ssrn.3419272

3. Wu, X., Xu, K., Hall, P.: A survey of image synthesis and editing with generative adversarial networks. Tsinghua Sci. Technol. 22(6), 660–674 (2017)

4. Tolosana, R., Vera-Rodriguez, R., Fierrez, J., Morales, A., Ortega-Garcia, J.: Deepfakes and beyond: A survey of face manipulation and fake detection. arXiv preprint arXiv:2001.00179 (2020)

5. Wang, T.-C., Liu, M.-Y., Zhu, J.-Y., Tao, A., Kautz, J., Catanzaro, B.: High-resolution image synthesis and semantic manipulation with conditional GANs. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 8798-8807 (2018)

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1. Deep Fake Image Detection using Xception Architecture;2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST);2024-04-09

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