Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection
Usman Muhammad,
Jorma Laaksonen,
Djamila Romaissa Beddiar
et al.
Abstract:Face presentation attack detection (PAD) plays a pivotal role in securing face recognition systems against spoofing attacks. Although great progress has been made in designing face PAD methods, developing a model that can generalize well to unseen test domains remains a significant challenge. Moreover, due to the different types of spoofing attacks, creating a dataset with a sufficient number of samples for training deep neural networks is a laborious task. This work proposes a comprehensive solution that comb… Show more
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