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In this paper, we introduce Random Erasing, a new data augmentation method for training the convolutional neural network (CNN).
Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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A. Krizhevsky and G. Hinton · 2009
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The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Adaptive dropout for training deep neural networks
J. Ba and B. Frey · 2013
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Regularization of neural networks using dropconnect
L. Wan, M. Zeiler, S. Zhang, Y. L. Cun, and R. Fergus · 2013
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Stochastic pooling for regularization of deep convolutional neural networks
M. D. Zeiler and R. Fergus · 2013
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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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Dropout: a simple way to prevent neural networks from overfitting
N. Srivastava, G. E. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov · 2014
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Fast r-cnn
R. Girshick · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 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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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 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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Sparse contextual activation for efficient visual re-ranking
S. Bai and X. Bai · 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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Identity mappings in deep residual networks
K. He, X. Zhang, S. Ren, and J. Sun · 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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Gated siamese convolutional neural network architecture for human re-identification
R. R. Varior, M. Haloi, and G. Wang · 2016
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Disturblabel: Regularizing cnn on the loss layer
L. Xie, J. Wang, Z. Wei, M. Wang, and Q. Tian · 2016
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Person re-identification by deep joint learning of multi-loss classification
W. Li, X. Zhu, and S. Gong · 2017
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Person re-identification by deep learning attribute-complementary information
A. Schumann and R. Stiefelhagen · 2017
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Pose-driven deep convolutional model for person re-identification
C. Su, J. Li, S. Zhang, J. Xing, W. Gao, and Q. Tian · 2017
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SVDNet for pedestrian retrieval
Y. Sun, L. Zheng, W. Deng, and S. Wang · 2017
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A-fast-rcnn: Hard positive generation via adversary for object detection
X. Wang, A. Shrivastava, and A. Gupta · 2017
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Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms
H. Xiao, K. Rasul, and R. Vollgraf · 2017
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Wide residual networks
S. Zagoruyko and N. Komodakis · 2016
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Learning a discriminative null space for person re-identification
L. Zhang, T. Xiang, and S. Gong · 2016
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Person re-identification: Past, present and future
L. Zheng, Y. Yang, and A. G. Hauptmann · 2016
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Scalable person re-identification on supervised smoothed manifold
S. Bai, X. Bai, and Q. Tian · 2017
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Person re-identification by deep learning multi-scale representations
Y. Chen, X. Zhu, and S. Gong · 2017
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In defense of the triplet loss for person re-identification
A. Hermans, L. Beyer, and B. Leibe · 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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Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He · 2017
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Divide and fuse: A re-ranking approach for person re-identification
R. Yu, Z. Zhou, S. Bai, and X. Bai · 2017
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Understanding deep learning requires rethinking generalization
C. Zhang, S. Bengio, M. Hardt, B. Recht, and O. Vinyals · 2017
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Deeply-learned part-aligned representations for person re-identification
L. Zhao, X. Li, J. Wang, and Y. Zhuang · 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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