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Multi-granularity collaborative constraint feature alignment network for unsupervised person re-identification

delete2026-04-12
delete0
PRE
AI
Y
Yanbing Chen
L
Lingyi Guo *
Z
Zhixin Tie
Y
Yinghong Xu
H
Hao Sheng
DOI：10.1016/j.patcog.2026.113676delete
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摘要

摘要

En 中文
• 提出层次化多粒度架构用于无监督ReID学习。 • 引入约束损失以显式对齐多尺度特征。 • 设计CCF模块在内存库初始化前过滤和对齐粒度特征。 • 在四个数据集上验证有效性与跨数据集适应性。
Keyword:
unsupervised person re-identification
multi-granularity architecture
constraint losses
feature alignment
cross-dataset adaptability

期刊

Pattern Recognition 封面图
Pattern Recognition
IF:
7.6
论文数:
1.3W
被引数:
4.5W

机构

Z
zhejiang sci-tech university
学者数:
818
论文数: 292
被引数: 0
Z
zhejiang sci tech university
学者数:
382
论文数: 135
被引数: 0
B
beihang university
学者数:
5.2K
论文数: 2.0K
被引数: 21
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引用论文

引用论文

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