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Person re-identification (ReID) is an important task in computer vision.
Are loss functions all the same?
L. Rosasco, E. De Vito, A. Caponnetto, M. Piana, and A. Verri · 2004
Earlier work this paper cites.
Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences
O. Hamdoun, F. Moutarde, B. Stanciulescu, and B. Steux · 2008
Earlier work this paper cites.
Person re-identification by symmetry-driven accumulation of local features
M. Farenzena, L. Bazzani, A. Perina, V. Murino, and M. Cristani · 2010
Earlier work this paper cites.
Large scale metric learning from equivalence constraints
M. Koestinger, M. Hirzer, P. Wohlhart, P. M. Roth, and H. Bischof · 2012
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Deepreid: Deep filter pairing neural network for person re-identification
W. Li, R. Zhao, T. Xiao, and X. Wang · 2014
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Person re-identification by local maximal occurrence representation and metric learning
S. Liao, Y. Hu, X. Zhu, and S. Z. Li · 2015
Earlier work this paper cites.
Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 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.
Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
Earlier work this paper cites.
Scalable person re-identification: A benchmark
L. Zheng, L. Shen, L. Tian, S. Wang, J. Wang, and Q. Tian · 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
Earlier work this paper cites.
Xception: Deep learning with depthwise separable convolutions
F. Chollet · 2016
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Deep transfer learning for person re-identification
M. Geng, Y. Wang, T. Xiang, and Y. Tian · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
Densely connected convolutional networks
G. Huang, Z. Liu, K. Q. Weinberger, and L. van der Maaten · 2016
Earlier work this paper cites.
Temporal model adaptation for person re-identification
N. Martinel, A. Das, C. Micheloni, and A. K. Roy-Chowdhury · 2016
Earlier work this paper cites.
Person re-identification using cnn features learned from combination of attributes
T. Matsukawa and E. Suzuki · 2016
Earlier work this paper cites.
Recurrent convolutional network for video-based person re-identification
N. McLaughlin, J. Martinez del Rincon, and P. Miller · 2016
Earlier work this paper cites.
Unsupervised cross-dataset transfer learning for person re-identification
P. Peng, T. Xiang, Y. Wang, M. Pontil, S. Gong, T. Huang, and Y. Tian · 2016
Earlier work this paper cites.
Cnn image retrieval learns from bow: Unsupervised fine-tuning with hard examples
F. Radenović, G. Tolias, and O. Chum · 2016
Cited alongside, same era.
Deep learning prototype domains for person re-identification
A. Schumann, S. Gong, and T. Schuchert · 2016
Cited alongside, same era.
MARS: A Video Benchmark for Large-Scale Person Re-identification
Springer · 2016
Cited alongside, same era.
Gated siamese convolutional neural network architecture for human re-identification
R. R. Varior, M. Haloi, and G. Wang · 2016
Cited alongside, same era.
A siamese long short-term memory architecture for human re-identification
R. R. Varior, B. Shuai, J. Lu, D. Xu, and G. Wang · 2016
Cited alongside, same era.
Person re-identification by discriminative selection in video ranking
Person search with natural language description
S. Li, T. Xiao, H. Li, B. Zhou, D. Yue, and X. Wang · 2017
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Improving person re-identification by attribute and identity learning
Y. Lin, L. Zheng, Z. Zheng, Y. Wu, and Y. Yang · 2017
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H. Liu, J. Feng, Z. Jie, K. Jayashree, B. Zhao, M. Qi, J. Jiang, and S. Yan · 2017
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End-to-end comparative attention networks for person re-identification
H. Liu, J. Feng, M. Qi, J. Jiang, and S. Yan · 2017
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Video-based person re-identification with accumulative motion context
H. Liu, Z. Jie, K. Jayashree, M. Qi, J. Jiang, S. Yan, and J. Feng · 2017
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T. Wang, S. Gong, X. Zhu, and S. Wang · 2016
Cited alongside, same era.
Learning deep feature representations with domain guided dropout for person re-identification
T. Xiao, H. Li, W. Ouyang, and X. Wang · 2016
Cited alongside, same era.
End-to-end deep learning for person search
T. Xiao, S. Li, B. Wang, L. Lin, and X. Wang · 2016
Cited alongside, same era.
Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He · 2016
Cited alongside, same era.
Top-push video-based person re-identification
J. You, A. Wu, X. Li, and W.-S. Zheng · 2016
Cited alongside, same era.
Learning a discriminative null space for person re-identification
L. Zhang, T. Xiang, and S. Gong · 2016
Cited alongside, same era.
Learning a discriminative null space for person re-identification
L. Zhang, T. Xiang, and S. Gong · 2016
Cited alongside, same era.
Closest in time.
Quality aware network for set to set recognition
Y. Liu, J. Yan, and W. Ouyang · 2017
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Person re-identification by unsupervised video matching
X. Ma, X. Zhu, S. Gong, X. Xie, J. Hu, K.-M. Lam, and Y. Zhong · 2017
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Working hard to know your neighbor’s margins: Local descriptor learning loss
A. Mishchuk, D. Mishkin, F. Radenovic, and J. Matas · 2017
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Multi-target tracking in multiple non-overlapping cameras using constrained dominant sets
Y. T. Tesfaye, E. Zemene, A. Prati, M. Pelillo, and M. Shah · 2017
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Deep ranking model by large adaptive margin learning for person re-identification
J. Wang, S. Zhou, J. Wang, and Q. Hou · 2017
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Joint detection and identification feature learning for person search
T. Xiao, S. Li, B. Wang, L. Lin, and X. Wang · 2017
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Image-to-video person re-identification with temporally memorized similarity learning
D. Zhang, W. Wu, H. Cheng, R. Zhang, Z. Dong, and Z. Cai · 2017
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Learning compact appearance representation for video-based person re-identification
W. Zhang, S. Hu, and K. Liu · 2017
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Shufflenet: An extremely efficient convolutional neural network for mobile devices
X. Zhang, X. Zhou, M. Lin, and J. Sun · 2017
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Y. Zhang, T. Xiang, T. M. Hospedales, and H. Lu · 2017
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Spindle net: Person re-identification with human body region guided feature decomposition and fusion
H. Zhao, M. Tian, S. Sun, J. Shao, J. Yan, S. Yi, X. Wang, and X. Tang · 2017
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Person re-identification by saliency learning
R. Zhao, W. Oyang, and X. Wang · 2017
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Pose invariant embedding for deep person re-identification
L. Zheng, Y. Huang, H. Lu, and Y. Yang · 2017
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Unlabeled samples generated by gan improve the person re-identification baseline in vitro
Z. Zheng, L. Zheng, and Y. Yang · 2017
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Re-ranking person re-identification with k-reciprocal encoding
Z. Zhong, L. Zheng, D. Cao, and S. Li · 2017
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