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How Deep is Your Art: An Experimental Study on the Limits of Artistic Understanding in a Single-Task, Single-Modality Neural Network

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Zahedi, Mahan Agha, Gholamrezaei, Niloofar, Doboli, Alex
Formato:	Preprint
Publicado:	2022
Materias:	Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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