3d anomaly detection 1boundary-aware refinement 1industrial inspection 1memory networks 1prototype learning 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
M2P-AD: Memory-to-Prototype Learning with Boundary-aware Score Refinement for 3D Anomaly Detection
Seyoung Jeong, Jong Pil Yun, Sang Jun Lee
The paper introduces M2P-AD, a 3D anomaly detection model that learns prototype representations of normal features and refines anomaly scores using object boundary information to r…
cs.CV2026
Weighted Knowledge Distillation for Semi-Supervised Segmentation of Maxillary Sinus in Panoramic X-ray Images
Juha Park, Jiho Choi, Jong Pil Yun +4
Accurate segmentation of maxillary sinus in panoramic X-ray images is essential for dental diagnosis and surgical planning; however, this task remains relatively underexplored in d…