LGRL: Local-Global Representation Learning for On-the-Fly FG-SBIR-Reference-Cited by-同舟云学术

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LGRL: Local-Global Representation Learning for On-the-Fly FG-SBIR

Published:2024-08 Issue:4 Volume:10 Page:543-555
ISSN:2332-7790
Container-title:IEEE Transactions on Big Data
language:
Short-container-title:IEEE Trans. Big Data

Author:

Dai Dawei¹^ORCID,Liu Yingge¹^ORCID,Li Yutang¹^ORCID,Fu Shiyu¹^ORCID,Xia Shuyin¹^ORCID,Wang Guoyin¹^ORCID

Affiliation:

1. Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing, Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China

Funder

National Natural Science Foundation of China

Nature Science Foundation of Chongqing

Chongqing municipal education commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6687317/10595994/10409584.pdf?arnumber=10409584

Reference52 articles.

1. Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval

2. DenseBert4Ret: Deep bi-modal for image retrieval

3. Cross-Compatible Embedding and Semantic Consistent Feature Construction for Sketch Re-identification

4. Sketch Me That Shoe

5. Learning to Sketch with Shortcut Cycle Consistency

Cited by 1 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. Prior semantic-embedding representation learning for on-the-fly FG-SBIR;Expert Systems with Applications;2024-12

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