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arXiv AI By Sumaiya Fazal, Rizwan Qureshi, Laleh Behjat, Samira Ebrahimi Kahou

Gated Prototype Transfer for Zero-Support Medical Vision Language Model

Read the original on arXiv AI →

The paper introduces Gated Knowledge‑Guided Prototype Transfer (GProtoT), a training‑free module that enhances zero‑support medical vision‑language models by transferring visual residuals from supported classes to missing ones using VLM similarity and clinical ontology distances. GProtoT employs an evidence gate to scale transfer based on semantic relevance, reducing negative transfer while modestly improving recall and accuracy in realistic one‑shot trials on MESSIDOR. The method requires no gradients, validation data, or extra inference, offering a low‑compute, accountable adaptation path for incomplete clinical supervision.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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