Fine-grained Cross-media Representation Learning with Deep Quantization Attention Network

Author:

Liang Meiyu1,Du Junping1,Liu Wu2,Xue Zhe1,Geng Yue1,Yang Congxian1

Affiliation:

1. Beijing University of Posts and Telecommunications, Beijing, China

2. AI Research of JD.com, Beijing, China

Funder

Open Research Fund of Beijing Key Laboratory of Big Data Technology for Food Safety Beijing Technology and Business University

the Science and Technology Major Project of Guangxi

the National Natural Science Foundation of China

Publisher

ACM

Reference56 articles.

Cited by 3 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. Federated learning for supervised cross-modal retrieval;World Wide Web;2024-06-26

2. Learning Hierarchy-Aware Federated Graph Embedding for Link Prediction;2024 IEEE International Conference on Big Data and Smart Computing (BigComp);2024-02-18

3. Generative Adversarial and Self-Attention Based Fine-Grained Cross-Media Retrieval;Proceedings of the 2020 4th International Conference on Vision, Image and Signal Processing;2020-12-09

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