Jian-He Cen

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection

CARE, a model-agnostic cascaded inference framework that integrates a Lightweight Pre-filter Model (LPM) with an existing high-capacity Complex Detection Model (CDM) and introduces a Structure Attention module to explicitly capture channel-wise anomaly contributions, achieves inference speedup compared to the most accurate SOTA approaches.