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cs.CV2026
DifferAD-R1: A Difference-Guided IndustrialAnomaly Localization with Multimodal LargeLanguage Models
Dingrong Wang, Xian Tao, Zhen Qu +5
Industrial anomaly localization aims to accurately identify and localize abnormal regions in industrial products, addressing the critical challenge of detecting unseen defect categ…
cs.LG2026
DQE: A Semantic-Aware Evaluation Metric for Time Series Anomaly Detection
Yuewei Li, Dalin Zhang, Huan Li +3
Time series anomaly detection has achieved remarkable progress in recent years. However, evaluation practices have received comparatively less attention, despite their critical imp…