Learning Patch-Channel Correspondence for Interpretable Face Forgery Detection

Beyond high accuracy, good interpretability is very critical to deploy a face forgery detection model for visual content analysis. In this paper, we propose learning patch-channel correspondence to facilitate interpretable face forgery detection. Patch-channel correspondence aims to transform the la...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 04., Seite 1668-1680
Auteur principal:	Hua, Yingying (Auteur)
Autres auteurs:	Shi, Ruixin, Wang, Pengju, Ge, Shiming
Format:	Article en ligne
Langue:	English
Publié:	2023
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article