Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence

Siwei Peng
Siwei Peng
Jingying Chi
Jingying Chi
Chenggen Song
Chenggen Song

national conference on artificial intelligence, pp. 77-84, 2018.

Cited by: 24|Views28

Abstract:

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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