AI RESEARCH
Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
arXiv CS.AI
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ArXi:2405.00181v3 Announce Type: replace-cross Video anomaly understanding (VAU) aims to automatically comprehend unusual occurrences in videos, thereby enabling various applications such as traffic surveillance and industrial manufacturing. While existing VAU benchmarks primarily concentrate on anomaly detection and localization, our focus is on practicality, prompting us to raise the following crucial questions: "what anomaly occurred?", "why did it happen?", and "how severe is this abnormal event.