Interpretable multimodal retrieval for fashion products

Interpretable multimodal retrieval for fashion products

Deep learning methods have been successfully applied to fashion retrieval. However, the latent meaning of learned feature vectors hinders the explanation of retrieval results and integration of user feedback. Fortunately, there are many online shopping websites organizing fashion items into hierarch...

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Bibliographic Details
Main Authors: LIAO, Lizi, HE, Xiangnan, ZHAO, Bo, NGO, Chong-Wah, CHUA, Tat-Seng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
Subjects:
Attribute manipulation
EI tree
Multimodal fashion retrieval
Artificial Intelligence and Robotics
Databases and Information Systems
Online Access:https://ink.library.smu.edu.sg/sis_research/7677
https://ink.library.smu.edu.sg/context/sis_research/article/8680/viewcontent/Interpretable_Multimodal_Retrieval_for_Fashion_Products.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/7677
https://ink.library.smu.edu.sg/context/sis_research/article/8680/viewcontent/Interpretable_Multimodal_Retrieval_for_Fashion_Products.pdf

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