2 papers
cs.CV2026
On the Illusion of Gender Bias in Face Recognition: Explaining the Fairness Issue Through Non-demographic Attributes
Paul Jonas Kurz, Haiyu Wu, Rouqaiah Al-Refai +2
Face recognition systems (FRS) exhibit significant accuracy differences based on the user's gender. Since such a gender gap reduces the trustworthiness of FRS, more recent efforts…
cs.CV2025
A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks
Sebastian GroÃ, Stefan Heindorf, Philipp Terhörst
Traditional face recognition systems rely on extracting fixed face representations, known as templates, to store and verify identities. These representations are typically generate…