Feature Focus: Towards Explainable and Transparent Deep Face Morphing Attack Detectors

Detecting morphed face images has become an important task to maintain the trust in automated verification systems based on facial images, e.g., at automated border control gates. Deep Neural Network (DNN)-based detectors have shown remarkable results, but without further investigations their decisi...

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Hlavní autoři:	Clemens Seibold, Anna Hilsmann, Peter Eisert
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-09-01
Edice:	Computers
Témata:	face morphing attacks DNN explainability face image forgery detection
On-line přístup:	https://www.mdpi.com/2073-431X/10/9/117
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