AI RESEARCH
Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction
arXiv CS.LG
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ArXi:2603.21612v1 Announce Type: new Time series anomaly detection plays a critical role in many dynamic systems. Despite its importance, previous approaches have primarily relied on unimodal numerical data, overlooking the importance of complementary information from other modalities.