Journal of Optoelectronics · Laser, Volume. 34, Issue 7, 762(2023)

Joint feature refinement and noise-tolerant comparative learning for unsupervised person re-identification

QIAN Yaping1,2,3, WANG Fengsui1,2,3、*, XIONG Lei1,2,3, and YAN Tao1,2,3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • show less
    References(14)

    [4] [4] AINAM J P,QIN K,OWUSU J W,et al.Unsupervised domain adaptation for person reidentification with iterative soft clustering[J].Knowledge-Based Systems,2021,212:106644.

    [5] [5] GE Y X,ZHU F,CHEN D P,et al.Self-paced contrastive learning with hybrid memory for domain adaptive object reid[C]//34th Conference on Neural Information Processing Systems (NIPS),December 6-12,2020,Online,Cambridge:MIT Press,2020:11309-11321.

    [6] [6] ZHANG B H,ZHU S Y,ZHOU Y F,et al.A novel unsupervised person re-identification algorithm based on soft multi-label and compound attention model[J].Multimedia Tools and Applications,2022,81(17):24081-24098.

    [8] [8] VALEM L P,PEDRONETTE D C G.Person Re-ID through unsupervised hypergraph rank selection and fusion[J].Image and Vision Computing,2022,123:104473.

    [9] [9] SRIDHAR R S,MUNAGA V.N.K P,RAMADOSS B.Spatio-temporal association rule based deep annotation-free clustering (STAR-DAC) for unsupervised person re-identification[J].Pattern Recognition,2022,122:108287.

    [10] [10] WANG M L,LAI B S,HUANG J Q,et al.Camera-aware proxies for unsupervised person re-identification[C]//35th AAAI Conference on Artificial Intelligence (AAAI),February 2-9,2021,Online.New York:AAAI Press,2021,4A:2764-2772.

    [12] [12] HAN X M,YU X H,NAN J,et al.Rethinking sampling strategies for unsupervised person re-identification [EB/OL].(2021-7-7) [2022-9-17].https://doi.org/10.48550/arXiv.2107.03024.

    [13] [13] WANG Y S,MA X J,CHEN Z Y,et al.Symmetric cross entropy for robust learning with noisy labels[C]//IEEE International Conference on ComputerVision (ICCV),October 27-November 3,2019,Seoul,South Korea.New York:IEEE,2019:322-330.

    [14] [14] QI L,WANG L,HUO J,et al.Adversarial camera alignment network for unsupervised cross-camera person re-identification[J].IEEE Transactions on Circuits and Systems for Video Technology,2022,32(5):2921-2936.

    [15] [15] ZENG K W,NING M N,WANG Y H,et al.Hierarchical clustering with hard-batch triplet loss for person reidentification[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR),June 16-18,2020,Seattle,WA,USA.New York:IEEE,2020:13654-13662.

    [16] [16] ZHOU S R,WANG Y,ZHANG F,et al.Cross-view similarity exploration for unsupervised cross-domain person reidentification[J].Neural Computing and Applications,2021,33(9):4001-4011.

    [17] [17] LI Q,PENG X J,QIAO Y,et al.Unsupervised person re-identification with multi-label learning guided self-paced clustering[J].Pattern Recognition,2022,125:108526.

    [18] [18] XUAN S Y,ZHANG S L.Intra-inter camera similarity for unsupervised person reidentification[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR),June 21-24, 2021,Online.New York:IEEE,2021:11921-11930.

    [19] [19] PANG Z Q,GUO J F,MA Z Q,et al.Median stable clustering and global distance classification for cross-domain person re-identification[J].IEEE Transactions on Circuits and Systems for Video Technology,2022,32(5):3164-3177.

    Tools

    Get Citation

    Copy Citation Text

    QIAN Yaping, WANG Fengsui, XIONG Lei, YAN Tao. Joint feature refinement and noise-tolerant comparative learning for unsupervised person re-identification[J]. Journal of Optoelectronics · Laser, 2023, 34(7): 762

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: Jun. 6, 2022

    Accepted: --

    Published Online: Sep. 25, 2024

    The Author Email: WANG Fengsui (fswang@ahpu.edu.cn)

    DOI:10.16136/j.joel.2023.07.0422

    Topics