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PitVQA++: Vector Matrix-Low-Rank Adaptation for Open-Ended Visual Question Answering in Pituitary Surgery

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	He, Runlong, Khan, Danyal Z., Mazomenos, Evangelos B., Marcus, Hani J., Stoyanov, Danail, Clarkson, Matthew J., Islam, Mobarakol
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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