Author:
Jinlei Zhu, ,Yanfeng Li,Houjin Chen,Jia Sun,Pan Pan
Publisher
Aerospace Information Research Institute, Chinese Academy of Sciences
Subject
Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Human-Computer Interaction
Reference30 articles.
1. Chen Y B,Zhu X T and Gong S G. 2019. Instance-guided context rendering for cross-domain person re-identification//Proceedings of 2019 IEEE/CVF International Conference on Computer Vision.Seoul,Korea (South):IEEE:232-242[DOI:10.1109/ICCV. 2019.00032]
2. Cho Y,Kim W J,Hong S and Yoon S E. 2022. Part-based pseudo label refinement for unsupervised person re-identification//Proceedings of 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition. New Orleans,USA:IEEE:7308-7318[DOI:10.1109/CVPR52688.2022.00716]
3. Deng W J,Zheng L,Ye Q X,Kang G L,Yang Y and Jiao J B. 2018.Image-image domain adaptation with preserved self-similarity and domain-dissimilarity for person re-identification//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City,USA:IEEE:994-1003[DOI:10.1109/CVPR.2018.00110]
4. Ester M,Kriegel H P,Sander J and Xu X W. 1996. A density-based algorithm for discovering clusters in large spatial databases with noise//Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining. Portland,USA:AAAI Press:226-231
5. Fan H H,Zheng L,Yan C G and Yang Y. 2018. Unsupervised person re-identification:clustering and fine-tuning. ACM Transactions on Multimedia Computing, Communications, and Applications, 14(4):#83[DOI:10.1145/3243316]