Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

Convolutional Neural Network for Retrieval of Supervised Footwear Images

Authors
Yong Wang, Dongdong Shen, Ying Wang
Corresponding Author
Yong Wang
Available Online May 2018.
DOI
10.2991/ncce-18.2018.92How to use a DOI?
Keywords
Weak supervision; image retrieval
Abstract

With the progress of science, the traditional image retrieval technology no longer applies in terms of accuracy and retrieval speed. The emergence of big data and GPU has laid a solid foundation for the development of deep learning. However, the emergence of big data also means that the data is noisy and imperfect problems are more obvious, so the data processing and research is necessary. The experimental results show that the targeted method can also improve the image retrieval results under noisy and uncertain data

Copyright
© 2018, 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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Volume Title
Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
Series
Advances in Intelligent Systems Research
Publication Date
May 2018
ISBN
978-94-6252-517-7
ISSN
1951-6851
DOI
10.2991/ncce-18.2018.92How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Yong Wang
AU  - Dongdong Shen
AU  - Ying Wang
PY  - 2018/05
DA  - 2018/05
TI  - Convolutional Neural Network for Retrieval of Supervised Footwear Images
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 574
EP  - 578
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.92
DO  - 10.2991/ncce-18.2018.92
ID  - Wang2018/05
ER  -