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Person re-identification (re-ID) aims at identifying the same persons' images across different cameras.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Deep domain confusion: Maximizing for domain invariance
Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, and Trevor Darrell · 2014
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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Learning transferable features with deep adaptation networks
Mingsheng Long, Yue Cao, Jianmin Wang, and Michael I Jordan · 2015
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Simultaneous deep transfer across domains and tasks
Eric Tzeng, Judy Hoffman, Trevor Darrell, and Kate Saenko · 2015
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Learning from massive noisy labeled data for image classification
Tong Xiao, Tian Xia, Yi Yang, Chang Huang, and Xiaogang Wang · 2015
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Scalable person re-identification: A benchmark
Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, and Qi Tian · 2015
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Domain separation networks
Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, and Dumitru Erhan · 2016
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Deep reconstruction-classification networks for unsupervised domain adaptation
Muhammad Ghifary, W Bastiaan Kleijn, Mengjie Zhang, David Balduzzi, and Wen Li · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Temporal ensembling for semi-supervised learning
Samuli Laine and Timo Aila · 2016
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Performance measures and a data set for multi-target, multi-camera tracking
Ergys Ristani, Francesco Solera, Roger Zou, Rita Cucchiara, and Carlo Tomasi · 2016
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Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
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Robust loss functions under label noise for deep neural networks
Aritra Ghosh, Himanshu Kumar, and PS Sastry · 2017
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In defense of the triplet loss for person re-identification
Alexander Hermans, Lucas Beyer, and Bastian Leibe · 2017
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Learning from noisy labels with distillation
Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, and Li-Jia Li · 2017
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Making deep neural networks robust to label noise: A loss correction approach
Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon, Richard Nock, and Lizhen Qu · 2017
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Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen and Harri Valpola · 2017
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Adversarial discriminative domain adaptation
Eric Tzeng, Judy Hoffman, Kate Saenko, and Trevor Darrell · 2017
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Toward robustness against label noise in training deep discriminative neural networks
Arash Vahdat · 2017
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Learning from noisy large-scale datasets with minimal supervision
Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, and Serge Belongie · 2017
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Mind the class weight bias: Weighted maximum mean discrepancy for unsupervised domain adaptation
Transferable joint attribute-identity deep learning for unsupervised person re-identification
Jingya Wang, Xiatian Zhu, Shaogang Gong, and Wei Li · 2018
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Person transfer gan to bridge domain gap for person re-identification
Longhui Wei, Shiliang Zhang, Wen Gao, and Qi Tian · 2018
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Generalized cross entropy loss for training deep neural networks with noisy labels
Zhilu Zhang and Mert Sabuncu · 2018
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Generalizing a person retrieval model hetero-and homogeneously
Zhun Zhong, Liang Zheng, Shaozi Li, and Yi Yang · 2018
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Disjoint label space transfer learning with common factorised space
Xiaobin Chang, Yongxin Yang, Tao Xiang, and Timothy M Hospedales · 2019
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Arcface: Additive angular margin loss for deep face recognition
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Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, and Wangmeng Zuo · 2017
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Image-image domain adaptation with preserved self-similarity and domain-dissimilarity for person re-identification
Weijian Deng, Liang Zheng, Qixiang Ye, Guoliang Kang, Yi Yang, and Jianbin Jiao · 2018
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Unsupervised person re-identification: Clustering and fine-tuning
Hehe Fan, Liang Zheng, Chenggang Yan, and Yi Yang · 2018
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Fd-gan: Pose-guided feature distilling gan for robust person re-identification
Yixiao Ge, Zhuowan Li, Haiyu Zhao, Guojun Yin, Shuai Yi, Xiaogang Wang, et al · 2018
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Co-teaching: Robust training of deep neural networks with extremely noisy labels
Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor Tsang, and Masashi Sugiyama · 2018
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Cleannet: Transfer learning for scalable image classifier training with label noise
Kuang-Huei Lee, Xiaodong He, Lei Zhang, and Linjun Yang · 2018
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Adaptation and re-identification network: An unsupervised deep transfer learning approach to person re-identification
Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, and Yu-Chiang Frank Wang · 2018
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Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
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Deep self-learning from noisy labels
Jiangfan Han, Ping Luo, and Xiaogang Wang · 2019
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Cross-dataset person re-identification via unsupervised pose disentanglement and adaptation
Yu-Jhe Li, Ci-Siang Lin, Yan-Bo Lin, and Yu-Chiang Frank Wang · 2019
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A bottom-up clustering approach to unsupervised person re-identification
Yutian Lin, Xuanyi Dong, Liang Zheng, Yan Yan, and Yi Yang · 2019
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Bag of tricks and a strong baseline for deep person re-identification
Hao Luo, Youzhi Gu, Xingyu Liao, Shenqi Lai, and Wei Jiang · 2019
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When does label smoothing help?
Rafael Müller, Simon Kornblith, and Geoffrey Hinton · 2019
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A novel unsupervised camera-aware domain adaptation framework for person re-identification
Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, and Yang Gao · 2019
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Co-mining: Deep face recognition with noisy labels
Xiaobo Wang, Shuo Wang, Jun Wang, Hailin Shi, and Tao Mei · 2019
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Self-similarity grouping: A simple unsupervised cross domain adaptation approach for person re-identification
Fu Yang, Wei Yunchao, Wang Guanshuo, Zhou Yuqian, Shi Honghui, and Huang Thomas · 2019
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Unsupervised person re-identification by soft multilabel learning
Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, and Jian-Huang Lai · 2019
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Invariance matters: Exemplar memory for domain adaptive person re-identification
Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, and Yi Yang · 2019
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