电子科技大学学报2026，Vol.55Issue(3)：374-384,11.DOI:10.12178/1001-0548.2025092
融合图通道注意力与多阶门控残差网络的换衣行人重识别模型
Cloth-changing person re-identification model integrating graph channel attention and multi-order gated residual network
摘要
Abstract
Person re-identification(Re-ID),an important task in computer vision,aims to achieve precise matching of pedestrian identities across cameras.However,significant variations in clothing features under clothing-changing scenarios pose challenges to traditional Re-ID methods in feature extraction and information capture.To address this issue,a clothing-changing person Re-ID model named AMGA-ResNet50,integrating graph channel attention and multi-order gated residual network is proposed.First,in the adaptive graph channel attention(AGA)module,the graph convolution theory is introduced into the channel attention mechanism for clothing-changing scenarios,the channel dependency relationships are modeled as connections between feature nodes,and then the key identity features of clothing-changing pedestrians can be effectively captured through graph-structured processing.Second,the multi-order gated aggregation convolution(MOGA)module is employed to enhance the ability of feature information extraction through a multi-order gaming mechanism and gated aggregation strategy.Finally,an improved triplet loss(ITL)is proposed,which introduces an absolute distance constraint for positive sample pairs to reduce the distance between them.Experimental results show that the proposed model achieves Rank-1 and mAP scores of 67.3%/64.7%,66.2%/19.0%,and 59.4%/20.7%on three public clothing-changing person Re-ID datasets,PRCC,Celeb-reID,and DeepChange,respectively,verifying the effectiveness of the model in clothing-changing scenarios.关键词
换衣行人重识别/图通道注意力/多阶门控卷积/改进三元组损失Key words
cloth-changing person re-identification/figure channel attention/multi-order gating convolution/improved triplet loss分类
信息技术与安全科学引用本文复制引用
莫太平,郑德广,孙鹏,覃汉岳,张向文,张斌..融合图通道注意力与多阶门控残差网络的换衣行人重识别模型[J].电子科技大学学报,2026,55(3):374-384,11.基金项目
国家自然科学基金(62263006) （62263006）
广西高校中青年教师科研基础能力提升项目(2025KY0258) （2025KY0258）
