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This paper proposes the SVDNet for retrieval problems, with focus on the application of person re-identification (re-ID).
A discriminatively trained, multiscale, deformable part model
P. Felzenszwalb, D. McAllester, and D. Ramanan · 2008
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L. Li, K. Li, and F. Li · 2009
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Custom pictorial structures for re-identification
D. S. Cheng, M. Cristani, M. Stoppa, L. Bazzani, and V. Murino · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Restructuring of deep neural network acoustic models with singular value decomposition
J. Xue, J. Li, and Y. Gong · 2013
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Exploiting linear structure within convolutional networks for efficient evaluation
E. L. Denton, W. Zaremba, J. Bruna, Y. LeCun, and R. Fergus · 2014
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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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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Deep learning face representation by joint identification-verification
Y. Sun, Y. Chen, X. Wang, and X. Tang · 2014
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Deep metric learning for person re-identification
D. Yi, Z. Lei, S. Liao, and S. Z. Li · 2014
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An improved deep learning architecture for person re-identification
E. Ahmed, M. J. Jones, and T. K. Marks · 2015
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Pcanet: A simple deep learning baseline for image classification?
T. Chan, K. Jia, S. Gao, J. Lu, Z. Zeng, and Y. Ma · 2015
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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
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Efficient PSD constrained asymmetric metric learning for person re-identification
S. Liao and S. Z. Li · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Scalable person re-identification: A benchmark
L. Zheng, L. Shen, L. Tian, S. Wang, J. Wang, and Q. Tian · 2015
Cited alongside, same era.
Similarity learning with spatial constraints for person re-identification
D. Chen, Z. Yuan, B. Chen, and N. Zheng · 2016
Cited alongside, same era.
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.
A siamese long short-term memory architecture for human re-identification
R. R. Varior, B. Shuai, J. Lu, D. Xu, and G. Wang · 2016
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Learning deep feature representations with domain guided dropout for person re-identification
T. Xiao, H. Li, W. Ouyang, and X. Wang · 2016
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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: Past, present and future
L. Zheng, Y. Yang, and A. G. Hauptmann · 2016
Later among the works it cites.
A discriminatively learned CNN embedding for person re-identification
Z. Zheng, L. Zheng, and Y. Yang · 2016
Later among the works it cites.
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M. Geng, Y. Wang, T. Xiang, and Y. Tian · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
End-to-end comparative attention networks for person re-identification
H. Liu, J. Feng, M. Qi, J. Jiang, and S. Yan · 2016
Cited alongside, same era.
Performance measures and a data set for multi-target, multi-camera tracking
E. Ristani, F. Solera, R. Zou, R. Cucchiara, and C. Tomasi · 2016
Cited alongside, same era.
Performance measures and a data set for multi-target, multi-camera tracking
E. Ristani, F. Solera, R. Zou, R. Cucchiara, and C. Tomasi · 2016
Cited alongside, same era.
Embedding deep metric for person re-identification: A study against large variations
H. Shi, Y. Yang, X. Zhu, S. Liao, Z. Lei, W. Zheng, and S. Z. Li · 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.
I. B. Barbosa, M. Cristani, B. Caputo, A. Rognhaugen, and T. Theoharis · 2017
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All you need is beyond a good init: Exploring better solution for training extremely deep convolutional neural networks with orthonormality and modulation
D. Xie, J. Xiong, and S. Pu · 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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Person re-identification in the wild
L. Zheng, H. Zhang, S. Sun, M. Chandraker, and Q. Tian · 2017
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Pedestrian alignment network for large-scale person re-identification
Z. Zheng, L. Zheng, 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
Closest in time.