ECCV2020 reid行人重识别论文指标比对说明

1 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

2.Multiple Expert Brainstorming for Domain Adaptive Person Re-identification  https://arxiv.org/pdf/2007.01546.pdf

3.Global Distance-distributions Separation for Unsupervised Person Re-identification  https://arxiv.org/pdf/2006.00752v1.pdf

4.Interpretable and Generalizable Person Re-identification with Query-adaptive Convolution and Temporal Lifting  https://arxiv.org/pdf/1904.10424v3.pdf

5 Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification  https://zhaoj9014.github.io/pub/1391.pdf 

6 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

7 Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification  https://arxiv.org/pdf/2007.10854.pdf

8 Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification  https://arxiv.org/pdf/2007.13890.pdf 有源码

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转载自blog.csdn.net/t20134297/article/details/108600939