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Effective Aesthetics Prediction with Multi-level Spatially Pooled Features
We propose an effective deep learning approach to aesthetics quality assessment that relies on a new type of pre-trained features, and apply it to the AVA data set, the currently largest aesthetics database.
Ranked #3 on
Aesthetics Quality Assessment
on AVA
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