作者位次 #4/10ACL 2026Poster· Natural Language Processing
VALU : A Benchmark for Video Anomaly Temporal Localization and Understanding at Multiple Semantic Levels
Yixiao He · Menghao Zhang · Haifeng Sun · Jing Wang · Kangheng Lin · Jinghan Wang · Chenye Xu · Pengfei Ren · Qi Qi · Jingyu Wang
摘要
Video anomaly understanding (VAU) is critical for real-world scenarios. Recent advances in Video Large Language Models (Video-LLMs) enhance the ability of VAU models to describe and interpret anomalies. However, progress in anomaly localization is still limited by two key issues. First, most exis...