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Jan, 2024
基于大型语言模型的视频异常检测与解释
Video Anomaly Detection and Explanation via Large Language Models
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Hui Lv, Qianru Sun
TL;DR
本文介绍了一种基于视频的大型语言模型在视频异常检测中的应用,该方法不需要阈值,并能解释检测到的异常事件。通过引入长期上下文网络模块和三阶段训练方法,提高了模型的性能并降低了数据需求和标注成本,该方法在UCF-Crime和TAD基准测试中实现了优异的性能。
Abstract
video anomaly detection
(VAD) aims to localize abnormal events on the timeline of long-range surveillance videos.
anomaly-scoring-based methods
have been prevailing for years but suffer from the high complexity o
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