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cs.CV2026
MedAD-R1: Consistency-Reinforced Policy Optimization for Interpretable Medical Anomaly Detection
Haitao Zhang, Yingying Wang, Jiaxiang Wang +5
Medical Anomaly Detection (MedAD) offers a promising direction for medical image analysis with Large Multimodal Models (LMMs). However, progress is limited by fragmented datasets a…
cs.CV2025
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection
Jiaxiang Wang, Haote Xu, Xiaolu Chen +4
Anomaly detection (AD) in 3D point clouds is crucial in a wide range of industrial applications, especially in various forms of precision manufacturing. Considering the industrial…