CVPR 2019 Open Access Repository

Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning Abstract Our goal in this paper is to discover near duplicate patterns in large collections of artworks. This is harder than standard instance mining due to differences in the artistic media (oil, pastel, drawing, etc), and imperfections inherent in the copying process. Our key technical insight is to adapt a standard deep feature to this task by fine-tuning it on the specific art collection using self-su

1 mentions: @t_Signull
Keywords: cvpr
Date: 2019/06/14 14:17

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@t_Signull Efrosセンセが著者に入ってるこの論文タイトルだけで面白いとわかる Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning

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