3 papers
cs.CV2026
LogiCo: A Unified Framework for Logical and Structural Anomaly Detection
Ximiao Zhang, Min Xu, Xiuzhuang Zhou
Current anomaly detection methods primarily focus on structural anomalies, while paying insufficient attention to anomalies that violate logical constraints. Conversely, top-perfor…
cs.CV2026
UniADC: A Unified Framework for Anomaly Detection and Classification
Ximiao Zhang, Min Xu, Zheng Zhang +2
In this paper, we introduce a novel task termed unified anomaly detection and classification, which aims to simultaneously detect anomalous regions in images and identify their spe…
cs.CV2025
Towards High-Resolution Industrial Image Anomaly Detection
Ximiao Zhang, Min Xu, Xiuzhuang Zhou
Current anomaly detection methods primarily focus on low-resolution scenarios. For high-resolution images, conventional downsampling often results in missed detections of subtle an…