3 papers
cs.CV2026
OPD-IAD: From Language Judgment to Industrial Anomaly Detection via On-Policy Self-Distillation
Shuimu Chen, Jing Jin, Nan Su +5
Large vision-language models (LVLMs) have recently shown strong potential for industrial anomaly detection (IAD) by providing image-level anomaly judgments and interpretable defect…
cs.AI2026
CoRe-ECG: Advancing Self-Supervised Representation Learning for 12-Lead ECG via Contrastive and Reconstructive Synergy
Zehao Qin, Xiaojian Lin, Ping Zhang +6
Accurate interpretation of electrocardiogram (ECG) remains challenging due to the scarcity of labeled data and the high cost of expert annotation. Self-supervised learning (SSL) of…
cs.LG2025
VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection
Sinchee Chin, Fan Zhang, Xiaochen Yang +5
Time Series Anomaly Detection (TSAD) is essential for uncovering rare and potentially harmful events in unlabeled time series data. Existing methods are highly dependent on clean,…