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ReactVAU: A Slow-Fast Decoupled Framework for Streaming Video Anomaly Understanding

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By Chia-Hui Chen, Fu-En Yang, Shih-Ying Yeh
| huggingface.co
Published on Sep 7 · Submitted by Min-Hung Chen on Sep 9 · NVIDIA Abstract ReactVAU enables real-time streaming video anomaly understanding via a fast detection module, persistent anomaly-aware memory, and an on-demand slow reasoning module that minimizes heavy model usage. In this paper, we propose ReactVAU, a Slow-Fast Decoupled Framework for real-time streaming Video Anomaly Understanding (VAU).
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