ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering

Fuente: arXiv

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Bibliographic Details
Main Authors:	Diao, Xingjian, Wu, Weiyi, Kong, Keyi, Qing, Peijun, Xu, Xinwen, Cheng, Ming, Vosoughi, Soroush, Gui, Jiang
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2509.16680