2026
TD-VAD: Breaking Visual Dependence in Video Anomaly Detection with Text-Driven Learning
ICML 2026poster
Visual data is typically a prerequisite for training existing video anomaly detection (VAD) methods. However, obtaining sufficient annotated anomaly data for training is challenging and not scalable due to the rarity of anomaly data and the wide variety of abnormal events. In this work, we advocate …