Low-rank Regularized Multi-representation Learning for Fashion Compatibility Prediction

IEEE Transactions on Multimedia, pp. 1555-1566, 2019.

Cited by: 3|Bibtex|Views119|DOI:https://doi.org/10.1109/TMM.2019.2944749
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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

The currently flourishing fashion-oriented community websites and the continuous pursuit of fashion have attracted the increased research interest of the fashion analysis community. Many studies show that predicting the compatibility of fashion outfits is a nontrivial task due to the difficulty in capturing the implicit patterns affecting...More

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