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Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection
Video anomaly detection (VAD) is a vital yet complex open-set task in computer vision, commonly tackled through reconstruction-based methods. However, these methods struggle with two key limitations: (1) insufficient robustness in open-set scenarios, where unseen normal motions are frequently miscla
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