Journal of Optoelectronics · Laser, Volume. 36, Issue 6, 597(2025)
Unsupervised domain adaptive person re-identification network based on label mutual optimization
[2] [2] LI H, ZHANG T, LI S, et al. Representation strategy for unsupervised domain adaptation on person re-identification. Optoelectronics Letters, 2024, 20:749-756.
[3] [3] WANG X, ZHENG W S, LI X, et al. Cross-scenario transfer person reidentification[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2015, 26(8):1447-1460.
[4] [4] CHO Y, KIM W J, HONG S, et al. Part-based pseudo label refinement for unsupervised person re-identification[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-24, 2022, New Orleans, LA, USA. New York: IEEE, 2022:7308-7318.
[5] [5] TAKEUCHI S, LI F, IWASAKI S, et al. Unsupervised domain-adaptive person re-identification with multi-camera constraints[C]//IEEE International Conference on Image Processing, October 16-19, 2022, Bordeaux, France. New York: IEEE, 2022:1636-1640.
[6] [6] FAN H, ZHENG L, YAN C, et al. Unsupervised person re-identification: Clustering and fine-tuning[J]. ACM Transactions on Multimedia Computing, Communications, and Applications, 2018, 14(4):1-18.
[7] [7] HUANG X, BELONGIE S. Arbitrary style transfer in real-time with adaptive instance normalization[C]//IEEE International Conference on Computer Vision, October 22-29, 2017, Venice, Italy. New York: IEEE, 2017:1501-1510.
[8] [8] ZHONG Z, ZHENG L, LUO Z, et al. Invariance matters: Exemplar memory for domain adaptive person re-identification[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 15-20, 2019, Long Beach, CA, USA. New York: IEEE, 2019:598-607.
[9] [9] ZHENG L, SHEN L, TIAN L, et al. Scalable person re-identification: a benchmark[C]//IEEE International Conference on Computer Vision, December 7-13, 2015, Santiago, Chile. New York: IEEE, 2015:1116-1124.
[10] [10] RISTANI E, SOLERA F, ZOU R, et al. Performance measures and a data set for multi-target, multi-camera tracking[C]//European Conference on Computer Vision, October 8-10 and 15-16, 2016, Amsterdam, The Netherlands. Cham: Springer, 2016:17-35.
[11] [11] LI Y J, YANG F E, LIU Y C, et al. Adaptationand re-identification network: an unsupervised deep transfer learning approach to person re-identification[C]//IEEE Conference on Computer Vision and Pattern Recognition Workshops, June 18-22, 2018, Salt Lake City, UT. USA. New York: IEEE, 2018:172-178.
[12] [12] DENG W, ZHENG L, YE Q, et al. Image-image domain adaptation with preserved self-similarity and domain-dissimilarity for person re-identification[C]//IEEE Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 2018:994-1003.
[13] [13] ZHONG Z, ZHENG L, LI S, et al. Generalizing a person retrieval model hetero- and homogeneously[C]//European Conference on Computer Vision (ECCV), September 8-14, 2018, Munich, German. Cham: Springer, 2018:172-188.
[14] [14] LI Y, LIN C, LIN Y, et al. Cross-dataset person re-identification via unsupervised pose disentanglement and adaptation[C]//IEEE International Conference on Computer Vision, October 27-November 2, 2019, Seoul, Korea (South). New York: IEEE, 2019:7918-7928.
[15] [15] ZHENG L, ZHANG H, SUN S, et al. Person re-identification in the wild[C]//IEEE Conference on Computer Vision and Pattern Recognition, July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 2017:1367-1376.
[16] [16] ZHANG M, LIU K, LI Y, et al. Unsupervised domain adaptation for person re-identification via heterogeneous graph alignment[C]//AAAI Conference on Artificial Intelligence, February 2-9, 2021, Virtually. Palo Alto: AAAI, 2021, 35(4):3360-3368.
[17] [17] GE Y, CHEN D, LI H. Mutual mean-teaching: pseudo label refinery for unsupervised domain adaptation on person re-identification[C]//International Conference on Learning Representations, April 26-30, 2020, Virtually. OpenReview. net, 2020:55-64.
[18] [18] ZHENG K, LAN C, ZENG W, et al. Exploiting sample uncertainty for domain adaptive person re-identification[C]//AAAI Conference on Artificial Intelligence, February 2-9, 2021, Virtually. Palo Alto: AAAI, 2021, 35(4):3538-3546.
[19] [19] HE T, SHEN L, GUO Y, et al. Secret: self-consistent pseudo label refinement for unsupervised domain adaptive person re-identification[C]//AAAI Conference on Artificial Intelligence, February 22-March 1, 2022, Virtually. Palo Alto: AAAI, 2022, 36(1):879-887.
Get Citation
Copy Citation Text
QIN Weihao, WEN Xianbin, YUAN Liming, XU Haixia, SHI Furong. Unsupervised domain adaptive person re-identification network based on label mutual optimization[J]. Journal of Optoelectronics · Laser, 2025, 36(6): 597
Category:
Received: Dec. 29, 2023
Accepted: Jun. 24, 2025
Published Online: Jun. 24, 2025
The Author Email: WEN Xianbin (xbwen@email.tjut.edu.cn)