红外技术2026，Vol.48Issue(3)：290-297,8.
基于斑块解耦-自协同对齐的可见光-红外行人重识别
Visible-Infrared Person Re-Identification Algorithm Based on Plaque-Decoupling and Self-Collaborative Alignment
摘要
Abstract
Modality entanglement introduced by spectral differences and heterogeneity interference reduces the accuracy of cross-modality person re-identification.To suppress the degradation of discrimination characteristics and heterogeneity interference caused by modality entanglement,a Plaque-Decoupling Self-Collaborative Alignment model is proposed,which consists of a plaque-decoupling and self-collaborative alignment modules.To mine the intra-class feature discrimination information,the plaque-decoupling module decomposes the cross-modality features in the channel dimension and extracts patch features,which can suppress the imaging modality entanglement of the visible and infrared images.The self-collaborative alignment module includes diversity decoupling and alignment constraints that can filter abnormal features caused by lighting factors and eliminate inter-class differences.The diversity-decoupling constraints learn the diversity-decoupling features,and the decoupled information is used by the alignment constraints to match the features.Experimental results on the SYSU-MM01 dataset demonstrate the effectiveness of the method.关键词
行人重识别/模态纠缠/斑块解耦/协同对齐/异质性干扰Key words
person re-identification/modality entanglement/plaque decoupling/collaborative alignment/heterogeneity interference分类
信息技术与安全科学引用本文复制引用
张佳乐,张宝华,吴冬阳,谷宇,李建军,王静宇..基于斑块解耦-自协同对齐的可见光-红外行人重识别[J].红外技术,2026,48(3):290-297,8.基金项目
国家自然科学基金项目(62262048,61962046,62001255,62066036,61841204) （62262048,61962046,62001255,62066036,61841204）
内蒙古优秀青年培育基金(2018JQ02) （2018JQ02）
内蒙古科技计划项目(2020GG0315,2021GG0082) （2020GG0315,2021GG0082）
内蒙古自治区自然科学基金(2022MS06017,2019MS06003,2018MS06018) （2022MS06017,2019MS06003,2018MS06018）
中央引导地方科技发展资金项目(2021ZY0004) （2021ZY0004）
内蒙古自治区高等学校科学技术研究项目(NJZY145)资助 （NJZY145）
教育部"春晖计划"合作科研项目(1383). （1383）
