Convolutional Neural Network for Retrieval of Supervised Footwear Images

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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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  -