Global Relation-Aware Attention Network for Image-Text Retrieval

Author:

Cao Jie1,Qian Shengsheng1,Zhang Huaiwen1,Fang Quan1,Xu Changsheng2

Affiliation:

1. School of Artificial Intelligence, Chinese Academy of Sciences & University of Chinese Academy of Sciences, BeiJing, China

2. School of Artificial Intelligence, Chinese Academy of Sciences; University of Chinese Academy of Sciences; & Peng Cheng Laboratory, BeiJing, China

Funder

National NaturalScience Foundation of China

Publisher

ACM

Cited by 13 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. Breaking Through the Noisy Correspondence: A Robust Model for Image-Text Matching;ACM Transactions on Information Systems;2024-08-19

2. VITR: Augmenting Vision Transformers with Relation-Focused Learning for Cross-modal Information Retrieval;ACM Transactions on Knowledge Discovery from Data;2024-08-09

3. Semantic Information Reasoning and Multi-Step Cross-Modal Interaction Network for Image-Text Retrieval;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Cross-Modal Retrieval Based on Semantic Filtering and Adaptive Pooling;Lecture Notes in Electrical Engineering;2024

5. An Image-Text Matching Method for Multi-Modal Robots;Journal of Organizational and End User Computing;2023-12-08

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