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pro vyhledávání: '"Gholamrezaei, Niloofar"'
Autor:
Agha Zahedi, Mahan1 (AUTHOR) mahan.aghazahedi@stonybrook.edu, Gholamrezaei, Niloofar2 (AUTHOR), Doboli, Alex1 (AUTHOR)
Publikováno v:
PLoS ONE. 11/6/2024, Vol. 19 Issue 11, p1-29. 29p.
Deep Neural Networks (DNNs) have been successfully used in classifying digital images but have been less successful in classifying images with meanings that are not linear combinations of their visualized features, like images of artwork. Moreover, i
Externí odkaz:
http://arxiv.org/abs/2302.00594
Computational modeling of artwork meaning is complex and difficult. This is because art interpretation is multidimensional and highly subjective. This paper experimentally investigated the degree to which a state-of-the-art Deep Convolutional Neural
Externí odkaz:
http://arxiv.org/abs/2203.16031