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Found 3 papers, 1 papers with code
Predicting Scores of Various Aesthetic Attribute Sets by Learning from Overall Score Labels
Then, we define an aesthetic attribute contribution to describe the role of aesthetic attributes throughout an image and use it with the attribute scores and the overall scores to train our F2S model.
Aesthetic Attribute Assessment of Images Numerically on Mixed Multi-attribute Datasets
Besides, we propose a efficient method for image aesthetic attribute assessment on mixed multi-attribute dataset and construct a multitasking network architecture by using the EfficientNet-B0 as the backbone network.
A similarity measurement for time series and its application to the stock market
In this paper, for accurately describing the similarity between a pair of time series, a novel similarity measurement is proposed, which is named as the dynamic multi-perspective personalized similarity measurement (DMPSM).
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