Cross-Modal Feature Fusion-Based Knowledge Transfer for Text-Based Person Search-Reference-Cited by-同舟云学术

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Cross-Modal Feature Fusion-Based Knowledge Transfer for Text-Based Person Search

Published:2024 Issue: Volume:31 Page:2230-2234
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

You Kaiyang¹^ORCID,Chen Wenjing²,Wang Chengji¹^ORCID,Sun Hao¹^ORCID,Xie Wei¹^ORCID

Affiliation:

1. Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, the School of Computer Science, and the National Language Resources Monitoring and Research Center for Network Media, Central China Normal University, Wuhan, China

2. School of Computer Science, Hubei University of Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Knowledge Innovation Program of Wuhan-Shuguang

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/97/10380231/10645220.pdf?arnumber=10645220

Reference42 articles.

1. Person Search with Natural Language Description

2. Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval

3. Addressing Information Inequality for Text-Based Person Search via Pedestrian-Centric Visual Denoising and Bias-Aware Alignments

4. Refined Knowledge Transfer for Language-Based Person Search

5. Ufinebench: Towards text-based person retrieval with ultra-fine granularity;Zuo,2024

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