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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書誌詳細

主要な著者:	Clemens Seibold, Anna Hilsmann, Peter Eisert
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2021-09-01
シリーズ:	Computers
主題:	face morphing attacks DNN explainability face image forgery detection
オンライン･アクセス:	https://www.mdpi.com/2073-431X/10/9/117
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