Robust Face Anti-Spoofing with Dual Probabilistic Modeling. (arXiv:2204.12685v1 [cs.CV])

The field of face anti-spoofing (FAS) has witnessed great progress with the
surge of deep learning. Due to its data-driven nature, existing FAS methods are
sensitive to the noise in the dataset, which will hurdle the learning process.
However, very few works consider noise modeling in FAS. In this work, we
attempt to fill this gap by automatically addressing the noise problem from
both label and data perspectives in a probabilistic manner. Specifically, we
propose a unified framework called Dual …

arxiv cv face modeling probabilistic modeling