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Xiao-Feng Tao

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Open access Dec 2024

Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomaly

This work introduces ECVA, a benchmark for Exploring the Causation of Video Anomalies, and proposes AnomShield, a video large language model for reasoning-intensive anomaly understanding that adopts a Chain-of-Thought reasoning paradigm to explicitly determine and extract anomaly-relevant temporal segments.

Hang Du, Guoshun Nan, Jiawen Qian et al. · 11 citations · ⚡3

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