Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification https://arxiv.org/pdf/2007.10315.pdf 源码：https://github.com/NVlabs/DG-Net-PP
Identity-Guided Human Semantic Parsing Learning for Person Re-Identification https://arxiv.org/pdf/2007.13467.pdf
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification https://arxiv.org/pdf/2007.01546.pdf
Global Distance-distributions Separation for Unsupervised Person Re-identification https://arxiv.org/pdf/2006.00752v1.pdf
Faster Person Re-Identification https://arxiv.org/pdf/2008.06826.pdf 源码：https://github.com/wangguanan/light-reid
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification
Robust Re-Identification by Multiple Views Knowledge Distillation https://arxiv.org/pdf/2007.04174.pdf
Interpretable and Generalizable Person Re-identification with Query-adaptive Convolution and Temporal Lifting https://arxiv.org/pdf/1904.10424v3.pdf
Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification https://zhaoj9014.github.io/pub/1391.pdf
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization https://arxiv.org/pdf/2001.08680.pdf 源码：https://github.com/automan000/Camera-based-Person-ReID
Generalizing Person Re-Identification by Camera-Aware Invariance Learning and Cross-Domain Mixup
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification https://arxiv.org/pdf/2007.09314.pdf 有源码
Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification https://arxiv.org/pdf/2007.10854.pdf
Prediction, Recovery and Identification: Adaptive Low-Resolution Person Re-Identification
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification https://arxiv.org/pdf/2007.13890.pdf 有源码
An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification
Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes