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Analysis of Dutch Master Paintings with Convolutional Neural Networks (2002.05107v3)
Published 12 Feb 2020 in cs.CV
Abstract: Trained on the works of an artist under study and visually comparable works of other artists, convolutional neural networks can identify forgeries and provide attributions. They can also assign classification probabilities within a painting, revealing mixed authorship and identifying regions painted by different hands.
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