AI RESEARCH
Wasserstein-Aligned Localisation for VLM-Based Distributional OOD Detection in Medical Imaging
arXiv CS.CV
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ArXi:2605.05161v1 Announce Type: new Zero-shot anomaly localisation via vision-language models (VLMs) offers a compelling approach for rare pathology detection, yet its performance is fundamentally limited by the absence of healthy anatomical context. We reformulate zero-shot localisation as a comparative inference problem in which anomalies are identified through structured comparison against reference distributions of normal anatomy. We