Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence
national conference on artificial intelligence, pp. 77-84, 2018.
Aesthetic quality prediction is a challenging task in the computer vision community because of the complex interplay with semantic contents and photographic technologies. Recent studies on the powerful deep learning based aesthetic quality assessment usually use a binary high-low label or a numerical score to represent the aesthetic qua...More
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