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VQArt-Bench: A semantically rich VQA Benchmark for Art and Cultural Heritage

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Alfarano, A., Venturoli, L., del Castillo, D. Negueruela
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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