Algorithm of face anti-spoofing based on pseudo-negative features generation
Yukun Ma,
Chengzhen Lyu,
Liangliang Li
et al.
Abstract:IntroductionDespite advancements in face anti-spoofing technology, attackers continue to pose challenges with their evolving deceptive methods. This is primarily due to the increased complexity of their attacks, coupled with a diversity in presentation modes, acquisition devices, and prosthetic materials. Furthermore, the scarcity of negative sample data exacerbates the situation by causing domain shift issues and impeding robust generalization. Hence, there is a pressing need for more effective cross-domain a… Show more
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