4 papers
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…
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…
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…
MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
Ximiao Zhang, Min Xu, Dehui Qiu +3
In the field of medical decision-making, precise anomaly detection in medical imaging plays a pivotal role in aiding clinicians. However, previous work is reliant on large-scale da…