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In this paper, we investigate the challenging task of person re-identification from a new perspective and propose an end-to-end attention-based architecture for few-shot re-identification through meta-learning.
Unsupervised salience learning for person re-identification
R. Zhao, W. Ouyang, and X. Wang · 2013
Earlier work this paper cites.
Deep metric learning for person re-identification
D. Yi, Z. Lei, S. Liao, S. Z. Li, et al · 2014
Earlier work this paper cites.
An improved deep learning architecture for person re-identification
E. Ahmed, M. Jones, and T. K. Marks · 2015
Earlier work this paper cites.
Deep feature learning with relative distance comparison for person re-identification
S. Ding, L. Lin, G. Wang, and H. Chao · 2015
Earlier work this paper cites.
Facenet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
Earlier work this paper cites.
Person re-identification by multi-channel parts-based cnn with improved triplet loss function
D. Cheng, Y. Gong, S. Zhou, J. Wang, and N. Zheng · 2016
Cited alongside, same era.
Deep attributes driven multi-camera person re-identification
C. Su, S. Zhang, J. Xing, W. Gao, and Q. Tian · 2016
Cited alongside, same era.
Learning invariant color features for person re-identification
R. R. Varior, G. Wang, J. Lu, and T. Liu · 2016
Cited alongside, same era.
Joint learning of single-image and cross-image representations for person re-identification
F. Wang, W. Zuo, L. Lin, D. Zhang, and L. Zhang · 2016
Cited alongside, same era.
Learning a discriminative null space for person re-identification
L. Zhang, T. Xiang, and S. Gong · 2016
Later among the works it cites.
Person re-identification in the wild
L. Zheng, H. Zhang, S. Sun, M. Chandraker, and Q. Tian · 2016
Later among the works it cites.
Beyond triplet loss: a deep quadruplet network for person re-identification
W. Chen, X. Chen, J. Zhang, and K. Huang · 2017
Later among the works it cites.
Stepwise metric promotion for unsupervised video person re-identification
Z. Liu, D. Wang, and H. Lu · 2017
Later among the works it cites.
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