ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection
ChronosAD introduces a foundation-model-based approach to time series anomaly detection that combines zero-shot embeddings with a custom Temporal Block architecture. The method achieves 4.72% improvement in AUC and 6.60% in AP across 11 benchmarks while requiring minimal task-specific tuning, enabling robust generalization across finance, healthcare, and industrial domains.