Query-aware multi-scale proposal network for weakly supervised temporal sentence grounding in videos

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成果类型：

期刊论文

作者：

Zhou, Mingyao;Chen, Wenjing;Sun, Hao;Xie, Wei;Dong, Ming;...

通讯作者：

Sun, H

作者机构：

[Zhou, Mingyao; Dong, Ming; Sun, Hao; Xie, Wei] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smart, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.

[Zhou, Mingyao; Dong, Ming; Sun, Hao; Xie, Wei] Cent China Normal Univ, Sch Comp Sci, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.

[Zhou, Mingyao; Dong, Ming; Sun, Hao; Xie, Wei] Cent China Normal Univ, Natl Language Resources Monitoring & Res Ctr Netwo, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.

[Chen, Wenjing] Hubei Univ Technol, Sch Comp Sci, 28 Nanli Rd, Wuhan 430068, Hubei, Peoples R China.

[Lu, Xiaoqiang] Fuzhou Univ, Coll Phys & Informat Engn, 2 Wulong Jiangbei Ave, Fuzhou 350002, Fujian, Peoples R China.

通讯机构：

[Sun, H ] C

Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smart, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.

Cent China Normal Univ, Sch Comp Sci, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.

Cent China Normal Univ, Natl Language Resources Monitoring & Res Ctr Netwo, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.

语种：

英文

关键词：

Temporal sentence grounding;Weakly supervised learning;Multi-modal interaction;Query-aware proposals

期刊：

Knowledge-Based Systems

ISSN：

0950-7051

年：

2024

卷：

304

DOI：

10.1016/j.knosys.2024.112592

基金类别：

National Natural Science Foundation of China [62201222, 62377026]; Knowledge Innovation Program of Wuhan-Shuguang Project [2023010201020382, 2023010201020377]; Fundamental Research Funds for the Central Universities [CCNU22QN014, CCNU24ai011, CCNU24JCPT027]

机构署名：

本校为第一且通讯机构

院系归属：

计算机学院

摘要：

Recently, weakly supervised temporal sentence grounding in videos (TSGV) has attracted extensive attention because it does not require precise start-end time annotations during training, and it can quickly retrieve interesting segments according to user needs. In weakly supervised TSGV, query reconstruction (QR)-based methods are the current mainstream, and the quality of proposals determines their performance. QR-based methods have two problems in proposal quality. First, a multi-modal global token is usually mapped to proposals with limited duration diversity, making it difficult to capture ...

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Query-aware multi-scale proposal network for weakly supervised temporal sentence grounding in videos

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