Hierarchical modal interaction balance cross-modal hashing for unsupervised image-text retrieval-Reference-Cited by-同舟云学术

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Hierarchical modal interaction balance cross-modal hashing for unsupervised image-text retrieval

Published:2024-05-18 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Zhang Jie,Lin Ziyong,Jiang Xiaolong,Li Mingyong^ORCID,Wang Chao

Funder

the Science and Technology Research Program of Chongqing Municipal Education Commission

Chongqing Natural Science Foundation of China

the Open Foundation of Yunnan Key Laboratory of Software Engineering

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-19371-w.pdf

Reference50 articles.

1. Zhu L, Wu X, Li J, Zhang Z, Guan W, Shen HT (2022) Work together: correlation-identity reconstruction hashing for unsupervised cross-modal retrieval. IEEE Trans. Knowl, Data Eng

2. Dey RK, Das AK (2023) Modified term frequency-inverse document frequency based deep hybrid framework for sentiment analysis. Multimed Tools Appl 82(21):32967–32990

3. Dey RK, Das AK (2024) Neighbour adjusted dispersive flies optimization based deep hybrid sentiment analysis framework. Multimed Tools Appl 1–24

4. Tu RC, Jiang J, Lin Q, Cai C, Tian S, Wang H, Liu W (2023) Unsupervised cross-modal hashing with modality-interaction. IEEE Trans Circ Syst Video Tech

5. Yuan X, Zhang Z, Wang X, Wu L (2023) Semantic-aware adversarial training for reliable deep hashing retrieval. IEEE Trans Inf Forensics Secur

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