Fetching the paper…
Reading the bibliography…
Unsupervised domain adaptation (UDA) for person re-identification is challenging because of the huge gap between the source and target domain.
A density-based algorithm for discovering clusters in large spatial databases with noise
Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu, et al · 1996
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Deepreid: Deep filter pairing neural network for person re-identification
Wei Li, Rui Zhao, Tong Xiao, and Xiaogang Wang · 2014
Earlier work this paper cites.
Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
Earlier work this paper cites.
Unsupervised domain adaptation by backpropagation
Yaroslav Ganin and Victor Lempitsky · 2015
Earlier work this paper cites.
Scalable person re-identification: A benchmark
Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, and Qi Tian · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Deep relative distance learning: Tell the difference between similar vehicles
Hongye Liu, Yonghong Tian, Yaowei Yang, Lu Pang, and Tiejun Huang · 2016
Earlier work this paper cites.
A deep learning-based approach to progressive vehicle re-identification for urban surveillance
Xinchen Liu, Wu Liu, Tao Mei, and Huadong Ma · 2016
Earlier work this paper cites.
Unsupervised domain adaptation with residual transfer networks
Mingsheng Long, Han Zhu, Jianmin Wang, and Michael I Jordan · 2016
Earlier work this paper cites.
Learning transferrable representations for unsupervised domain adaptation
Ozan Sener, Hyun Oh Song, Ashutosh Saxena, and Silvio Savarese · 2016
Earlier work this paper cites.
Sergey Zagoruyko and Nikos Komodakis · 2016
Earlier work this paper cites.
Mobilenets: Efficient convolutional neural networks for mobile vision applications
Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam · 2017
Earlier work this paper cites.
Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
Earlier work this paper cites.
Object-part attention model for fine-grained image classification
Yuxin Peng, Xiangteng He, and Junjie Zhao · 2017
Earlier work this paper cites.
Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
Earlier work this paper cites.
Residual attention network for image classification
Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, and Xiaoou Tang · 2017
Earlier work this paper cites.
Unlabeled samples generated by gan improve the person re-identification baseline in vitro
Zhedong Zheng, Liang Zheng, and Yi Yang · 2017
Earlier work this paper cites.
Re-ranking person re-identification with k-reciprocal encoding
Zhun Zhong, Liang Zheng, Donglin Cao, and Shaozi Li · 2017
Earlier work this paper cites.
Reverse attention for salient object detection
Shuhan Chen, Xiuli Tan, Ben Wang, and Xuelong Hu · 2018
Earlier work this paper cites.
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
Earlier work this paper cites.
Unsupervised person re-identification: Clustering and fine-tuning
Hehe Fan, Liang Zheng, Chenggang Yan, and Yi Yang · 2018
Earlier work this paper cites.
Dropblock: A regularization method for convolutional networks
Golnaz Ghiasi, Tsung-Yi Lin, and Quoc V Le · 2018
Earlier work this paper cites.
Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
Earlier work this paper cites.
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
Earlier work this paper cites.
Unsupervised domain adaptation with similarity learning
Pedro O. Pinheiro · 2018
Earlier work this paper cites.
From source to target and back: symmetric bi-directional adaptive gan
Paolo Russo, Fabio M Carlucci, Tatiana Tommasi, and Barbara Caputo · 2018
Earlier work this paper cites.
Maximum classifier discrepancy for unsupervised domain adaptation
Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, and Tatsuya Harada · 2018
Cited alongside, same era.
Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline)
Yifan Sun, Liang Zheng, Yi Yang, Qi Tian, and Shengjin Wang · 2018
Cited alongside, same era.
Learning discriminative features with multiple granularities for person re-identification
Guanshuo Wang, Yufeng Yuan, Xiong Chen, Jiwei Li, and Xi Zhou · 2018
Cited alongside, same era.
Transferable joint attribute-identity deep learning for unsupervised person re-identification
Jingya Wang, Xiatian Zhu, Shaogang Gong, and Wei Li · 2018
Cited alongside, same era.
Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
Cited alongside, same era.
Person transfer gan to bridge domain gap for person re-identification
Patch-based discriminative feature learning for unsupervised person re-identification
Qize Yang, Hong-Xing Yu, Ancong Wu, and Wei-Shi Zheng · 2019
Later among the works it cites.
Simulating content consistent vehicle datasets with attribute descent
Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, and Tom Gedeon · 2019
Later among the works it cites.
Self-training with progressive augmentation for unsupervised cross-domain person re-identification
Xinyu Zhang, Jiewei Cao, Chunhua Shen, and Mingyu You · 2019
Later among the works it cites.
Joint discriminative and generative learning for person re-identification
Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, and Jan Kautz · 2019
Later among the works it cites.
Invariance matters: Exemplar memory for domain adaptive person re-identification
Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, and Yi Yang · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Longhui Wei, Shiliang Zhang, Wen Gao, and Qi Tian · 2018
Cited alongside, same era.
Cbam: Convolutional block attention module
Sanghyun Woo, Jongchan Park, Joon-Young Lee, and In So Kweon · 2018
Cited alongside, same era.
Progressive attention guided recurrent network for salient object detection
Xiaoning Zhang, Tiantian Wang, Jinqing Qi, Huchuan Lu, and Gang Wang · 2018
Cited alongside, same era.
Deep mutual learning
Ying Zhang, Tao Xiang, Timothy M Hospedales, and Huchuan Lu · 2018
Cited alongside, same era.
Generalizing a person retrieval model hetero-and homogeneously
Zhun Zhong, Liang Zheng, Shaozi Li, and Yi Yang · 2018
Cited alongside, same era.
Disjoint label space transfer learning with common factorised space
Xiaobin Chang, Yongxin Yang, Tao Xiang, and Timothy M Hospedales · 2019
Cited alongside, same era.
Self-critical attention learning for person re-identification
Guangyi Chen, Chunze Lin, Liangliang Ren, Jiwen Lu, and Jie Zhou · 2019
Cited alongside, same era.
Omni-scale feature learning for person re-identification
Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, and Tao Xiang · 2019
Later among the works it cites.
Sanping Zhou, Fei Wang, Zeyi Huang, and Jinjun Wang · 2019
Later among the works it cites.
Unsupervised learning of visual features by contrasting cluster assignments
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, and Armand Joulin · 2020
Closest in time.
Adaptive exploration for unsupervised person re-identification
Yuhang Ding, Hehe Fan, Mingliang Xu, and Yi Yang · 2020
Closest in time.
Mutual mean-teaching: Pseudo label refinery for unsupervised domain adaptation on person re-identification
Yixiao Ge, Dapeng Chen, and Hongsheng Li · 2020
Closest in time.
Self-paced contrastive learning with hybrid memory for domain adaptive object re-id
Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, and Hongsheng Li · 2020
Closest in time.
Bootstrap your own latent - a new approach to self-supervised learning
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, Bilal Piot, koray kavukcuoglu, Remi Munos, and Michal Valko · 2020
Closest in time.
Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
Closest in time.
Style normalization and restitution for generalizable person re-identification
Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen, and Li Zhang · 2020
Closest in time.
Unsupervised domain adaptation in person re-id via k-reciprocal clustering and large-scale heterogeneous environment synthesis
Devinder Kumar, Parthipan Siva, Paul Marchwica, and Alexander Wong · 2020
Closest in time.
Maximum density divergence for domain adaptation
Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, and Heng Tao Shen · 2020
Closest in time.
The 4th ai city challenge
Milind Naphade, Shuo Wang, David C Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, and Pranamesh Chakraborty · 2020
Closest in time.
Unsupervised constrative person re-identification
Bo Pang, Deming Zhai, Junjun Jiang, and Xianming Liu · 2020
Closest in time.
Unsupervised domain adaptive re-identification: Theory and practice
Liangchen Song, Cheng Wang, Lefei Zhang, Bo Du, Qian Zhang, Chang Huang, and Xinggang Wang · 2020
Closest in time.
Unsupervised person re-identification via multi-label classification
Dongkai Wang and Shiliang Zhang · 2020
Closest in time.
Smoothing adversarial domain attack and p-memory reconsolidation for cross-domain person re-identification
Guangcong Wang, Jian-Huang Lai, Wenqi Liang, and Guangrun Wang · 2020
Closest in time.
Diversity-achieving slow-dropblock network for person re-identification
Xiaofu Wu, Ben Xie, Shiliang Zhao, Suofei Zhang, Yong Xiao, and Ming Li · 2020
Closest in time.
Semi-supervised image classification via attention mechanism and generative adversarial network
Xuezhi Xiang, Zeting Yu, Ning Lv, Xiangdong Kong, and Abdulmotaleb El Saddik · 2020
Closest in time.
Deep learning for person re-identification: A survey and outlook
Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, and Steven CH Hoi · 2020
Closest in time.
Ad-cluster: Augmented discriminative clustering for domain adaptive person re-identification
Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, and Yonghong Tian · 2020
Closest in time.
Learning to adapt invariance in memory for person re-identification
Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, and Yi Yang · 2020
Closest in time.
Exploring simple siamese representation learning
Xinlei Chen and Kaiming He · 2021
Closest in time.
Faster domain adaptation networks
Jingjing Li, Mengmeng Jing, Hongzu Su, Ke Lu, Lei Zhu, and Heng Tao Shen · 2021
Closest in time.