Image retrieval of colored spun fabrics based on variable weight and semantic features

Author:

Gu Qian1,Xiao Yaowen1,Yuan Li12ORCID,Shen Mande1,Zhang Faquan1,Liao Haibing1,Liu Junping3

Affiliation:

1. School of Electronics and Electrical Engineering, Wuhan Textile University, Wuhan, China

2. State Key Laboratory for Hubei New Textile Materials and Advanced Processing Technology, Wuhan Textile University, Wuhan, Hubei, China

3. School of Computer and Artificial Intelligence, Wuhan Textile University, Wuhan, China

Publisher

Informa UK Limited

Reference18 articles.

1. Image scene classification algorithm based on multi-level feature representation;Guanghua G.;High Technology Letters,,2019

2. Clothing comfort evaluation based on transfer learning and support vector machine;Haibang X. I. A.;Journal of Textile Research,,2020

3. Pre-Trained AlexNet Architecture with Pyramid Pooling and Supervision for High Spatial Resolution Remote Sensing Image Scene Classification

4. Fabric image retrieval method of blending the color and edge feature;Hongjing C. U. I.;Cotton Textile Technology,,2019

5. Image semantic analysis and retrieval recommendation for clothing based on deep learning;Hui X. U.;Basic Sciences Journal of Textile Universities,,2020

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