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cs.CV2024
FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model
Yuanwei Li, Elizaveta Ivanova, Martins Bruveris
Automatic image anomaly detection is important for quality inspection in the manufacturing industry. The usual unsupervised anomaly detection approach is to train a model for each…
cs.CV2020★ 1 cited
Reducing Geographic Performance Differential for Face Recognition
Martins Bruveris, Jochem Gietema, Pouria Mortazavian +1
As face recognition algorithms become more accurate and get deployed more widely, it becomes increasingly important to ensure that the algorithms work equally well for everyone. We…