A new orthogonal projection module for video anomaly detection suppresses facial attributes via weak face-presence signals and cosine alignment while preserving anomaly-relevant features like pose and motion.
arXiv preprint arXiv:2412.18298 , year=
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Proposes JFPD with uncertainty and semantic trust weighting for reliable domain adaptation under distribution shift.
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Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection
A new orthogonal projection module for video anomaly detection suppresses facial attributes via weak face-presence signals and cosine alignment while preserving anomaly-relevant features like pose and motion.
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Trust-Aware Joint Feature-Prediction Discrepancy for Robust Domain Adaptation
Proposes JFPD with uncertainty and semantic trust weighting for reliable domain adaptation under distribution shift.