Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark.

@article{Wang2020WeaklySP,
  title={Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark.},
  author={Guangrun Wang and Guangcong Wang and Xujie Zhang and Jianhuang Lai and Zhengtao Yu and L. Lin},
  journal={IEEE transactions on neural networks and learning systems},
  year={2020},
  volume={PP}
}
  • Guangrun Wang, Guangcong Wang, +3 authors L. Lin
  • Published 2020
  • Computer Science, Medicine
  • IEEE transactions on neural networks and learning systems
  • Person re-identification (Re-ID) benefits greatly from the accurate annotations of existing datasets (e.g., CUHK03 \cite{li2014deepreid} and Market-1501 \cite{zheng2015scalable}), which are quite expensive because each image in these datasets has to be assigned with a proper label. [...] Key Method The pseudo label is further used to supervise the learning of the Re-ID model. When compared with the fully supervised Re-ID models, our method achieves the state-of-the-art performance on SYSU-30$k$ and other…Expand Abstract
    3 Citations

    References

    SHOWING 1-10 OF 102 REFERENCES
    Weakly Supervised Person Re-Identification
    • J. Meng, S. Wu, W. Zheng
    • Computer Science
    • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
    • 2019
    • 16
    • Highly Influential
    • PDF
    Scalable Person Re-identification: A Benchmark
    • 1,535
    • Highly Influential
    • PDF
    Person Re-identification: Past, Present and Future
    • 594
    • PDF
    Generalizing a Person Retrieval Model Hetero- and Homogeneously
    • 161
    • PDF
    Scalable Person Re-identification on Supervised Smoothed Manifold
    • S. Bai, X. Bai, Q. Tian
    • Computer Science, Mathematics
    • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    • 2017
    • 232
    • Highly Influential
    • PDF
    Unsupervised Person Re-Identification by Soft Multilabel Learning
    • 89
    • PDF
    Distilled Person Re-Identification: Towards a More Scalable System
    • 25
    • PDF
    Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification
    • 192
    • Highly Influential
    • PDF
    End-to-End Deep Learning for Person Search
    • 101
    • PDF
    Progressive Learning for Person Re-Identification With One Example
    • 78
    • Highly Influential