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Fine-tuning Convolutional Neural Networks for fine art classification
Abstract The increasing availability of large digitized fine art collections opens new research perspectives in the intersection of artificial intelligence and art history. Motivated by theExpand
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  • Open Access
Automated painter recognition based on image feature extraction
This paper describes an approach to automated classification of paintings by artist. The individual style of an artist is recognized through specific elements of a painting which distinguishes theExpand
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INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures
This paper describes the achievements of the H2020 project INDIGO-DataCloud. The project has provided e-infrastructures with tools, applications and cloud framework enhancements to manage theExpand
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  • Open Access
Genre classification of paintings
Extensive digitization efforts in the recent years have led to a large increase of digitized and online available fine-art collections. With digitization of artworks, we aim to preserve all thoseExpand
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  • Open Access
A Deep Learning Perspective on Beauty, Sentiment, and Remembrance of Art
With the emergence of large digitized fine art collections and the successful performance of deep learning techniques, new research prospects unfold in the intersection of artificial intelligence andExpand
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How Convolutional Neural Networks Remember Art
Inspired by the successful performance of Convolutional Neural Networks (CNN) in automatically predicting complex image properties such as memorability, in this work we explore their transferabilityExpand
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  • Open Access
Računalno otkrivanje stilskih obilježja slikarskih djela utemeljeno na analizi značajki slike više razine
Dostupnost velikih kolekcija digitaliziranih slikarskih djela otvorila je mogucnost novih istraživackih pristupa u analizi likovne umjetnosti, zasn
Learning the Principles of Art History with convolutional neural networks
Abstract Understanding the historical transformation of artistic styles implies the recognition of different stylistic properties. From a computer vision perspective, stylistic properties representExpand
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