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- W2410069612 abstract "Automatic analysis of visual art, such as paintings, is a challenging inter-disciplinary research problem. Conventional approaches only rely on global scene characteristics by encoding holistic information for computational painting categorization. We argue that such approaches are sub-optimal and that discriminative common visual structures provide complementary information for painting classification." @default.
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- W2410069612 date "2016-06-06" @default.
- W2410069612 modified "2023-09-27" @default.
- W2410069612 title "Combining Holistic and Part-based Deep Representations for Computational Painting Categorization" @default.
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- W2410069612 doi "https://doi.org/10.1145/2911996.2912063" @default.
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