4 citations · 5 across the 3 of their papers we have counts for
3 papers
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…
cs.CV2024★ 4 cited
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
Ximiao Zhang, Min Xu, Xiuzhuang Zhou
Self-supervised feature reconstruction methods have shown promising advances in industrial image anomaly detection and localization. Despite this progress, these methods still face…
eess.IV2023★ 1 cited
Weakly Supervised Anomaly Detection for Chest X-Ray Image
Haoqi Ni, Ximiao Zhang, Min Xu +2
Chest X-Ray (CXR) examination is a common method for assessing thoracic diseases in clinical applications. While recent advances in deep learning have enhanced the significance of…