ClothingNet: Cross-Domain Clothing Retrieval With Feature Fusion and Quadruplet Loss-Reference-Cited by-同舟云学术

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ClothingNet: Cross-Domain Clothing Retrieval With Feature Fusion and Quadruplet Loss

Published:2020 Issue: Volume:8 Page:142669-142679
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Miao Yongwei^ORCID,Li Gaoyi,Bao Chen,Zhang Jiajing,Wang Jinrong

Funder

National Natural Science Foundation of China

Science Foundation of Zhejiang Sci-Tech University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09154357.pdf?arnumber=9154357

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BangleFIR: bridging the gap in fashion image retrieval with a novel dataset of bangles;Multimedia Tools and Applications;2024-07-10

2. A Survey on Fashion Image Retrieval;ACM Computing Surveys;2024-01-22

3. Cross-domain fashion cloth retrieval via novel attention-guided cascade neural network and clothing parsing;Computer Vision and Image Understanding;2023-10

4. Ornament image retrieval using few-shot learning;International Journal of Multimedia Information Retrieval;2023-08-31

5. Improving Fashion Attribute Classification Accuracy with Limited Labeled Data Using Transfer Learning;2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA);2022-12

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