Summary of the apparel collocation recommendation system based on deep learning

DOI

10.2991/jimec-18.2018.52How to use a DOI?

Keywords

deep learning; image processing; cross-domain retrieval; collocation recommendation

Abstract

With the booming development of apparel e-commerce, there is a huge amount of clothing image data on the Internet. Because the semantic attribute cannot accurately describe and locate the garment image, the recommendation system based on deep learning has been developed rapidly. This paper describes a large amount of relevant literature, summarizes the research achievements of various universities in related fields in recent years, and summarizes the general steps of using deep learning to process clothing images, such as target positioning, feature processing, multi-attribute classification, etc., as well as the realization method of clothing retrieval and collocation system based on deep learning.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tian Jiaxin
AU  - Du Yang
AU  - Guo Fei
AU  - Peng Shengqiong
PY  - 2018/12
DA  - 2018/12
TI  - Summary of the apparel collocation recommendation system based on deep learning
BT  - Proceedings of the 2018 3rd Joint International Information Technology，Mechanical and Electronic Engineering Conference (JIMEC 2018)
PB  - Atlantis Press
SP  - 242
EP  - 245
SN  - 2589-4943
UR  - https://doi.org/10.2991/jimec-18.2018.52
DO  - 10.2991/jimec-18.2018.52
ID  - Jiaxin2018/12
ER  -