4 citations · 6 across the 7 of their papers we have counts for
8 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…
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…
Semantically Informed Salient Regions Guided Radiology Report Generation
Zeyi Hou, Zeqiang Wei, Ruixin Yan +2
Recent advances in automated radiology report generation from chest X-rays using deep learning algorithms have the potential to significantly reduce the arduous workload of radiolo…
Billet Number Recognition Based on Test-Time Adaptation
Yuan Wei, Xiuzhuang Zhou
During the steel billet production process, it is essential to recognize machine-printed or manually written billet numbers on moving billets in real-time. To address the issue of…
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…
A Disease Labeler for Chinese Chest X-Ray Report Generation
Mengwei Wang, Ruixin Yan, Zeyi Hou +2
In the field of medical image analysis, the scarcity of Chinese chest X-ray report datasets has hindered the development of technology for generating Chinese chest X-ray reports. O…