CVPR 2022 人员重识别方向 论文推荐 ~ 总计9篇，无监督、防换装、抗遮挡！

作为视频监控领域的核心技术，ReID 目前正向着无监督学习、抗遮挡、防换装、大规模预训练、训练样本生成等方向发展。

✔ 基于部分的伪标签提精，用于无监督人员重识别

Part-based Pseudo Label Refinement for Unsupervised Person Re-identification

https://arxiv.org/abs/2203.14675

https://github.com/yoonkicho/PPLR

✔ 特征空间的样本生成，用于孤立摄像机人员再识别

Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification

https://arxiv.org/abs/2203.15210

✔ 带有噪声标签的人员重新识别（Re-ID）的大规模预训练问题

Large-Scale Pre-training for Person Re-identification with Noisy Labels

https://arxiv.org/abs/2203.16533

https://github.com/DengpanFu/LUPerson-NL

✔ 将真实世界人物的衣服贴合到3D角色上，用于生成ReID的合成样本

Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification

https://arxiv.org/abs/2204.02611

https://github.com/Yanan-Wang-cs/ClonedPerson

✔ 隐式样本扩展，用于解决无监督人员重识别中的聚类问题

Implicit Sample Extension for Unsupervised Person Re-Identification

https://arxiv.org/abs/2204.06892

https://github.com/PaddlePaddle/PaddleClas

✔ 基于图采样的深度度量学习用于可泛化的人员重识别

Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification

https://arxiv.org/abs/2104.01546

https://github.com/ShengcaiLiao/QAConv

✔ 新Neighbor Transformer Network ：克服身份内部变化，生成更具鉴别和鲁棒的特征

NFormer: Robust Person Re-identification with Neighbor Transformer

https://arxiv.org/abs/2204.09331

https://github.com/haochenheheda/NFormer

✔ 仅用RGB图像的换装人员再识别，克服衣服对识别的影响

Clothes-Changing Person Re-identification with RGB Modality Only

https://arxiv.org/abs/2204.06890

https://github.com/guxinqian/Simple-CCReID

✔ 用于遮挡人员重识别的特征擦除与扩散网络

Feature Erasing and Diffusion Network for Occluded Person Re-Identification

https://arxiv.org/abs/2112.08740

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