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A deep learning approach to clustering visual arts
[article]
2021
arXiv
pre-print
Clustering artworks is difficult for several reasons. On the one hand, recognizing meaningful patterns based on domain knowledge and visual perception is extremely hard. On the other hand, applying traditional clustering and feature reduction techniques to the highly dimensional pixel space can be ineffective. To address these issues, in this paper we propose DELIUS: a DEep learning approach to cLustering vIsUal artS. The method uses a pre-trained convolutional network to extract features and
arXiv:2106.06234v1
fatcat:lhtgmr2i4rgknnjo7muw4hqx24