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Person re-identification (re-ID) models trained on one domain often fail to generalize well to another.
Dimensionality reduction by learning an invariant mapping
R. Hadsell, S. Chopra, and Y. LeCun · 2006
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A discriminatively trained, multiscale, deformable part model
P. Felzenszwalb, D. McAllester, and D. Ramanan · 2008
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Viewpoint invariant pedestrian recognition with an ensemble of localized features
D. Gray and H. Tao · 2008
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Person re-identification by symmetry-driven accumulation of local features
M. Farenzena, L. Bazzani, A. Perina, V. Murino, and M. Cristani · 2010
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Adapting visual category models to new domains
K. Saenko, B. Kulis, M. Fritz, and T. Darrell · 2010
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Unbiased look at dataset bias
A. Torralba and A. A. Efros · 2011
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Geodesic flow kernel for unsupervised domain adaptation
B. Gong, Y. Shi, F. Sha, and K. Grauman · 2012
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A kernel two-sample test
A. Gretton, K. M. Borgwardt, M. J. Rasch, B. Schölkopf, and A. J. Smola · 2012
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Unsupervised visual domain adaptation using subspace alignment
B. Fernando, A. Habrard, M. Sebban, and T. Tuytelaars · 2013
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Transfer sparse coding for robust image representation
M. Long, G. Ding, J. Wang, J. Sun, Y. Guo, and P. S. Yu · 2013
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Unsupervised salience learning for person re-identification
R. Zhao, W. Ouyang, and X. Wang · 2013
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Domain-adversarial neural networks
H. Ajakan, P. Germain, H. Larochelle, F. Laviolette, and M. Marchand · 2014
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Covariance descriptor based on bio-inspired features for person re-identification and face verification
B. Ma, Y. Su, and F. Jurie · 2014
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Deep domain confusion: Maximizing for domain invariance
E. Tzeng, J. Hoffman, N. Zhang, K. Saenko, and T. Darrell · 2014
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Unsupervised learning of generative topic saliency for person re-identification
H. Wang, S. Gong, and T. Xiang · 2014
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Unsupervised domain adaptation by backpropagation
Y. Ganin and V. S. Lempitsky · 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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Learning transferable features with deep adaptation networks
M. Long, Y. Cao, J. Wang, and M. I. Jordan · 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
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Tensorflow: A system for large-scale machine learning
M. Abadi, P. Barham, J. Chen, Z. Chen, A. Davis, J. Dean, M. Devin, S. Ghemawat, G. Irving, M. Isard, M. Kudlur, J. Levenberg, R. Monga, S. Moore, D. G. Murray, B. Steiner, P. A. Tucker, V. Vasudevan, P. Warden, M. Wicke, Y. Yu, and X. Zheng · 2016
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Fast patch-based style transfer of arbitrary style
T. Q. Chen and M. Schmidt · 2016
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Domain-adversarial training of neural networks
Y. Ganin, E. Ustinova, H. Ajakan, P. Germain, H. Larochelle, F. Laviolette, M. Marchand, and V. S. Lempitsky · 2016
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Image style transfer using convolutional neural networks
L. A. Gatys, A. S. Ecker, and M. Bethge · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Arbitrary style transfer in real-time with adaptive instance normalization
X. Huang and S. J. Belongie · 2017
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Image-to-image translation with conditional adversarial networks
P. Isola, J. Zhu, T. Zhou, and A. A. Efros · 2017
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Learning to discover cross-domain relations with generative adversarial networks
T. Kim, M. Cha, H. Kim, J. K. Lee, and J. Kim · 2017
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Diversified texture synthesis with feed-forward networks
Y. Li, C. Fang, J. Yang, Z. Wang, X. Lu, and M. Yang · 2017
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Demystifying neural style transfer
Y. Li, N. Wang, J. Liu, and X. Hou · 2017
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Unsupervised image-to-image translation networks
M. Liu, T. Breuel, and J. Kautz · 2017
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J. Johnson, A. Alahi, and L. Fei-Fei · 2016
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Precomputed real-time texture synthesis with markovian generative adversarial networks
C. Li and M. Wand · 2016
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Coupled generative adversarial networks
M. Liu and O. Tuzel · 2016
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Hierarchical gaussian descriptor for person re-identification
T. Matsukawa, T. Okabe, E. Suzuki, and Y. Sato · 2016
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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
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Performance measures and a data set for multi-target, multi-camera tracking
E. Ristani, F. Solera, R. Zou, R. Cucchiara, and C. Tomasi · 2016
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Return of frustratingly easy domain adaptation
B. Sun, J. Feng, and K. Saenko · 2016
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Stepwise metric promotion for unsupervised video person re-identification
Z. Liu, D. Wang, and H. Lu · 2017
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Unified deep supervised domain adaptation and generalization
S. Motiian, M. Piccirilli, D. A. Adjeroh, and G. Doretto · 2017
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SVDNet for pedestrian retrieval
Y. Sun, L. Zheng, W. Deng, and S. Wang · 2017
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Dynamic label graph matching for unsupervised video re-identification
M. Ye, A. J. Ma, L. Zheng, J. Li, and P. C. Yuen · 2017
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Dualgan: Unsupervised dual learning for image-to-image translation
Z. Yi, H. Zhang, P. Tan, and M. Gong · 2017
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Cross-view asymmetric metric learning for unsupervised person re-identification
H. Yu, A. Wu, and W. Zheng · 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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Random erasing data augmentation
Z. Zhong, L. Zheng, G. Kang, S. Li, and Y. Yang · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Transferable joint attribute-identity deep learning for unsupervised person re-identification
J. Wang, X. Zhu, S. Gong, and L. Wei · 2018
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Exploit the unknown gradually: One-shot video-based person re-identification by stepwise learning
Y. Wu, Y. Lin, X. Dong, Y. Yan, W. Ouyang, and Y. Yang · 2018
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Camera style adaptation for person re-identification
Z. Zhong, L. Zheng, Z. Zheng, S. Li, and Y. Yang · 2018
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