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Using CNN features to better understand what makes visual artworks special
Anselm Brachmann,
Erhardt Barth
, Christoph Redies
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Corresponding author for this work
Institute of Neuro- and Bioinformatics
Friedrich Schiller University Jena
12
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Engineering & Materials Science
Convolutional neural networks
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Computer vision
23%
Statistics
20%