2 papers
cs.CV2026
Diverse Normal Prototypes-Guided Contrastive Reconstruction for Medical Anomaly Detection
Luhu Li, Bin Liu, Bowen Lin +3
Anomaly detection in medical images is challenging due to limited annotations and the domain gap. Existing reconstruction-based methods often rely on frozen pre-trained encoders, r…
cs.CV2026
QualiTeacher: Quality-Conditioned Pseudo-Labeling for Real-World Image Restoration
Fengyang Xiao, Jingjia Feng, Peng Hu +6
Real-world image restoration (RWIR) is a highly challenging task due to the absence of clean ground-truth images. Many recent methods resort to pseudo-label (PL) supervision, often…