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

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Diao, Xingjian, Wu, Weiyi, Kong, Keyi, Qing, Peijun, Xu, Xinwen, Cheng, Ming, Vosoughi, Soroush, Gui, Jiang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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