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• W2397855462 abstract "Current approaches to aesthetic image analysis either provide accurate or interpretable results. To get both accuracy and interpretability, we advocate the use of learned visual attributes as mid-level features. For this purpose, we propose to discover and learn the visual appearance of attributes automatically, using the recently introduced AVA database which contains more than 250,000 images together with their user ratings and textual comments. These learned attributes have many applications including aesthetic quality prediction, image classification and retrieval." @default.
• W2397855462 created "2016-06-24" @default.
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• W2397855462 date "2013-01-01" @default.
• W2397855462 modified "2023-09-26" @default.
• W2397855462 title "Learning beautiful (and ugly) attributes." @default.
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