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Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach
Author(s) -
Yihui Ma,
Jia Jia,
Suping Zhou,
Jingtian Fu,
Yejun Liu,
Zijian Tong
Publication year - 2017
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v31i1.10509
Subject(s) - clothing , computer science , autoencoder , benchmark (surveying) , artificial intelligence , collocation (remote sensing) , space (punctuation) , fashion design , deep learning , natural language processing , machine learning , archaeology , geodesy , history , geography , operating system

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