AI RESEARCH
FunFace: Feature Utility and Norm Estimation for Face Recognition
arXiv CS.CV
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ArXi:2604.26598v1 Announce Type: new Face Recognition (FR) is used in a variety of application domains, from entertainment and banking to security and surveillance. Such applications rely on the FR model to be robust and perform well in a variety of settings. To achieve this, state-of-the-art FR models typically use expressive adaptive margin loss functions, which tie the feature norm to concepts related to sample quality, such as recognizability and perceptual image quality.