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VIF-YOLO:A Visible-Infrared Fusion YOLO Model for Real-Time Human Detection in Dense Smoke Environments

Wenhe Chen Yue Wang Shuonan Shen LeerHua Caixia Zheng Qi Pu Xundiao Ma

Computers, Materials & Continua2026，Vol.87Issue(4)：P.1463-1484,22.

Computers, Materials & Continua2026，Vol.87Issue(4)：P.1463-1484,22.DOI:10.32604/cmc.2025.074682

VIF-YOLO:A Visible-Infrared Fusion YOLO Model for Real-Time Human Detection in Dense Smoke Environments

Wenhe Chen ¹Yue Wang ¹Shuonan Shen ¹LeerHua ¹Caixia Zheng ²Qi Pu ¹Xundiao Ma³

作者信息

1. School of Computer Engineering,Jiangsu University of Technology,Changzhou,213001,China
2. College of Information Sciences and Technology,Northeast Normal University,Changchun,130117,China
3. School of Teacher Education,Qujing Normal University,Qujing,655011,China
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摘要

关键词

Fire rescue/dense smoke environments/human detection/multimodal fusion/YOLO

分类

信息技术与安全科学

引用本文复制引用

Wenhe Chen,Yue Wang,Shuonan Shen,LeerHua,Caixia Zheng,Qi Pu,Xundiao Ma..VIF-YOLO:A Visible-Infrared Fusion YOLO Model for Real-Time Human Detection in Dense Smoke Environments[J].Computers, Materials & Continua,2026,87(4):P.1463-1484,22.

基金项目

funded by the National Natural Science Foundation of China under Grant 62306128 （）

the Leading Innovation Project of Changzhou Science and Technology Bureau underGrant CQ20230072 （）

the Basic Science Research Project of Jiangsu Provincial Department of Education under Grant 23KJD520003 （）

the Science and Technology Development Plan Project of Jilin Provinceunder Grant 20240101382JC （）

the National KeyR esearch and Development Program of China under Grant 2023YFF1105102. （）

Computers, Materials & Continua

ISSN：1546-2218

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