2020
BioMetricNet: deep unconstrained face verification through learning of metrics regularized onto Gaussian distributions
ECCV 2020poster
We present BioMetricNet: a novel framework for deep unconstrained face verification which learns a regularized metric to compare facial features. Differently from popular methods such as FaceNet, the proposed approach does not impose any specific metric on facial features; instead, it shapes the dec…