Learning Relationship-Enhanced Semantic Graph for Fine-Grained Image–Text Matching

Author:

Liu Xin1ORCID,He Yi2,Cheung Yiu-Ming3ORCID,Xu Xing4ORCID,Wang Nannan5ORCID

Affiliation:

1. Department of Computer Science, Huaqiao University, Xiamen, China

2. Xiamen Key Laboratory of Computer Vision and Pattern Recognition and Fujian Key Laboratory of Big Data Intelligence and Security, Huaqiao University, Xiamen, China

3. Department of Computer Science and Institute of Research and Continuing Education, Hong Kong Baptist University, Hong Kong, China

4. Center for Future Multimedia and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

5. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China

Funder

Open Project of Zhejiang Lab

National Science Foundation of China

NSFC/RGC Joint Research Scheme

General Research Fund of Research Grants Council

Hong Kong Baptist University

Innovation and Technology Fund of Innovation and Technology Commission of the Government of the Hong Kong SAR

National Science Foundation of Fujian Province

Technology Innovation Leading Program of Shaanxi

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Cited by 7 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. UGNCL: Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. Relation Awareness Network for Few-Shot Fine-Grained Fault Diagnosis;IEEE Sensors Journal;2024-07-01

3. Image–Text Cross-Modal Retrieval with Instance Contrastive Embedding;Electronics;2024-01-09

4. Integrating Language Guidance Into Image-Text Matching for Correcting False Negatives;IEEE Transactions on Multimedia;2024

5. The Image Data and Backbone in Weakly Supervised Fine-Grained Visual Categorization: A Revisit and Further Thinking;IEEE Transactions on Circuits and Systems for Video Technology;2024-01

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