AI RESEARCH
Employing Vision-Language Models for Face Image Quality Assessment
arXiv CS.CV
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ArXi:2605.17489v1 Announce Type: new Face Image Quality Assessment (FIQA) is a crucial control step in biometric pipelines. It ensures only reliable samples are processed to maintain system accuracy. State-of-the-art FIQA methods achieve high utility but typically operate as "black boxes." They produce scalar scores without human-interpretable justifications. This lack of transparency limits their effectiveness in human-in-the-loop scenarios, such as automated border control, where actionable feedback is essential.