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M2HF:Multi-branch multi-modal hybrid fusion for text-video retrieval

Shuo Liu Weize Quan Ming Zhou Sihong Chen Jian Kang Zhe Zhao Kimmo Yan Chen Chen Dong-Ming Yan

Computational Visual Media2026，Vol.12Issue(2)：P.449-471,23.

Computational Visual Media2026，Vol.12Issue(2)：P.449-471,23.DOI:10.26599/CVM.2025.9450444

M2HF:Multi-branch multi-modal hybrid fusion for text-video retrieval

Shuo Liu ¹Weize Quan ¹Ming Zhou ²Sihong Chen ³Jian Kang ³Zhe Zhao ³Kimmo Yan ³Chen Chen ³Dong-Ming Yan¹

作者信息

1. MAIS,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,China
2. School of Information Science and Technology,Donghua University,Shanghai 200051,China
3. Tencent,Shenzhen 518057,China
折叠

摘要

关键词

multi-modality/multi-branch/hybrid fusion/text–video retrieval

分类

信息技术与安全科学

引用本文复制引用

Shuo Liu,Weize Quan,Ming Zhou,Sihong Chen,Jian Kang,Zhe Zhao,Kimmo Yan,Chen Chen,Dong-Ming Yan..M2HF:Multi-branch multi-modal hybrid fusion for text-video retrieval[J].Computational Visual Media,2026,12(2):P.449-471,23.

基金项目

partially supported by the National Natural Science Foundation of China(62102418,62172415) （62102418,62172415）

the CCF-Tencent Rhino-Bird Research Fund(RAGR20210124) （RAGR20210124）

the Beijing Science and Technology Plan Project(Z231100005923033). （Z231100005923033）

Computational Visual Media

ISSN：2096-0433

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