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Camera-aware Embedding Refinement for unsupervised person re-identification

delete2025-02-01
delete0
PRE
AI
Y
Yimin Liu
M
Meibin Qi *
X
Xu, Wenbo
DOI：10.1016/j.knosys.2025.113195delete
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摘要

摘要

En 中文
我们提出了一种以数据为中心的方法，即相机感知嵌入精炼（CER），用于增强无监督行人重识别的判别性。CER由两个组件组成：相机代理记忆和相机感知嵌入生成（CEG）。相机代理记忆使用原始嵌入进行初始化，并在训练过程中通过CEG生成的辅助嵌入进行更新，以确保记忆内部的一致性。辅助嵌入由CEG根据原始数据集内的内在关系创建，并考虑了不同相机视角引起的图像变化。具体而言，CEG处理以下场景：同一人被不同相机拍摄的不同图像、不同个体被同一相机拍摄的不同图像，以及不同个体被不同相机拍摄的不同图像。仅使用辅助嵌入训练下游无监督Re-ID模型可显著提高特征判别性。我们的方法专注于生成辅助嵌入，并可以适配于各种无监督Re-ID模型。大量实验表明，我们的方法持续优于当前最优技术。
Keyword:
Unsupervised person re-identification
Data generation
Camera-aware
Embedding refinement
Auxiliary embedding data

期刊

K
Knowledge-Based Systems
IF:
7.6
论文数:
1.3W
被引数:
4.5W

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暂无机构信息
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