Zhengyan Ding

PRISM: Training-Free Video Anomaly Detection via Intrinsic Statistical Modeling

While emerging training-free video anomaly detection (VAD) methods offer advantages such as interpretability and ease of deployment, they often suffer from computational inefficiency due to complex memory retrieval mechanisms or high-latency visual language models (VLMs). To address this, we propose…