- Tytuł:
- Deep Classifiers and Wavelet Transformation for Fake Image Detection
- Autorzy:
-
Osowski, Stanislaw
Golgowski, Maciej - Powiązania:
- https://bibliotekanauki.pl/articles/27312950.pdf
- Data publikacji:
- 2023
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
continuous wavelet transform
convolutional neural
networks
deep fake
ensemble of classifiers - Opis:
- The paper presents a computer system for detecting deep fake images in videos. The system is based on continuous wavelet transformation combined with a set of classifiers composed of a few convolutional neural networks of diversified architectures. Three different forms of forged images taken from the FaceForensics++ database are considered in numerical experiments. The results of experiments involving the proposed system have shown good performance in comparison to other current approaches to this particular problem.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2023, 4; 1--8
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł