Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

Although current deep learning-based face forgery detectors achieve impressive performance in constrained scenarios, they are vulnerable to samples created by unseen manipulation methods. Some recent works show improvements in generalisation but rely on cues that are easily corrupted by common post-...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 5037 - 5047
Hlavní autori:	Haliassos, Alexandros, Vougioukas, Konstantinos, Petridis, Stavros, Pantic, Maja
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2021
Predmet:	Face recognition Meetings Mouth Perturbation methods Semantics Speech recognition Visualization
ISSN:	1063-6919
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