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Extracting robust feature representation is one of the key challenges in object re-identification (ReID).
Scalable person re-identification: A benchmark
Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, and Qi Tian · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Deep networks with stochastic depth
Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, and Kilian Q Weinberger · 2016
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Deep relative distance learning: Tell the difference between similar vehicles
Hongye Liu, Yonghong Tian, Yaowei Yang, Lu Pang, and Tiejun Huang · 2016
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Large-scale vehicle re-identification in urban surveillance videos
Xinchen Liu, Wu Liu, Huadong Ma, and Huiyuan Fu · 2016
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Understanding the effective receptive field in deep convolutional neural networks
Wenjie Luo, Yujia Li, Raquel Urtasun, and Richard Zemel · 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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Learning deep context-aware features over body and latent parts for person re-identification
Dangwei Li, Xiaotang Chen, Zhang Zhang, and Kaiqi Huang · 2017
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End-to-end comparative attention networks for person re-identification
Hao Liu, Jiashi Feng, Meibin Qi, Jianguo Jiang, and Shuicheng Yan · 2017
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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
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Glad: Global-local-alignment descriptor for pedestrian retrieval
Longhui Wei, Shiliang Zhang, Hantao Yao, Wen Gao, and Qi Tian · 2017
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How to start training: The effect of initialization and architecture
Boris Hanin and David Rolnick · 2018
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Harmonious attention network for person re-identification
Wei Li, Xiatian Zhu, Xiatian Gong, Shaogang, and Shaogang Gong · 2018
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Fixing weight decay regularization in adam
Ilya Loshchilov and Frank Hutter · 2018
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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
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Learning discriminative features with multiple granularities for person re-identification
Guanshuo Wang, Yufeng Yuan, Xiong Chen, Jiwei Li, and Xi Zhou · 2018
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Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 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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Shufflenet: An extremely efficient convolutional neural network for mobile devices
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, and Jian Sun · 2018
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A discriminatively learned cnn embedding for person reidentification
Zhedong Zheng, Liang Zheng, and Yi Yang · 2018
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Mixed high-order attention network for person re-identification
Binghui Chen, Weihong Deng, Jiani Hu, Jiani Hu, and Jiani Hu · 2019
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Abd-net: Attentive but diverse person re-identification
Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, and Zhangyang Wang · 2019
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Vehicle re-identification with viewpoint-aware metric learning
Ruihang Chu, Yifan Sun, Yadong Li, Zheng Liu, Chi Zhang, and Yichen Wei · 2019
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Reducing transformer depth on demand with structured dropout
Angela Fan, Edouard Grave, and Armand Joulin · 2019
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Part-regularized near-duplicate vehicle re-identification
Bing He, Jia Li, Yifan Zhao, and Yonghong Tian · 2019
Cited alongside, same era.
Bag of tricks and a strong baseline for deep person re-identification
Beyond the parts: Learning multi-view cross-part correlation for vehicle re-identification
Xinchen Liu, Wu Liu, Jinkai Zheng, Chenggang Yan, and Tao Mei · 2020
Later among the works it cites.
Parsing-based view-aware embedding network for vehicle re-identification
Dechao Meng, Liang Li, Xuejing Liu, Yadong Li, Shijie Yang, Zheng-Jun Zha, Xingyu Gao, Shuhui Wang, and Qingming Huang · 2020
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Stripe-based and attribute-aware network: A two-branch deep model for vehicle re-identification
Jingjing Qian, Wei Jiang, Hao Luo, and Hongyan Yu · 2020
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Circle loss: A unified perspective of pair similarity optimization
Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, and Yichen Wei · 2020
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Cfvmnet: A multi-branch network for vehicle re-identification based on common field of view
Ziruo Sun, Xiushan Nie, Xiaoming Xi, and Yilong Yin · 2020
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Hao Luo, Youzhi Gu, Xingyu Liao, Shenqi Lai, and Wei Jiang · 2019
Cited alongside, same era.
Alignedreid++: Dynamically matching local information for person re-identification
Hao Luo, Wei Jiang, Xuan Zhang, Xing Fan, Jingjing Qian, and Chi Zhang · 2019
Cited alongside, same era.
Pose-guided feature alignment for occluded person re-identification
Jiaxu Miao, Yu Wu, Ping Liu, Yuhang Ding, and Yi Yang · 2019
Cited alongside, same era.
Dissecting person re-identification from the viewpoint of viewpoint
Xiaoxiao Sun and Liang Zheng · 2019
Cited alongside, same era.
Second-order non-local attention networks for person re-identification
Bryan (Ning) Xia, Yuan Gong, Yizhe Zhang, and Christian Poellabauer · 2019
Cited alongside, same era.
Deep representation learning with part loss for person re-identification
Hantao Yao, Shiliang Zhang, Richang Hong, Yongdong Zhang, Changsheng Xu, and Qi Tian · 2019
Cited alongside, same era.
Omni-scale feature learning for person re-identification
Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, and Tao Xiang · 2019
Cited alongside, same era.
Abhijit Suprem and Calton Pu · 2020
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Training data-efficient image transformers & distillation through attention
Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, and Hervé Jégou · 2020
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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
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High-order information matters: Learning relation and topology for occluded person re-identification
Guan’an Wang, Shuo Yang, Huanyu Liu, Zhicheng Wang, Yang Yang, Shuliang Wang, Gang Yu, Erjin Zhou, and Jian Sun · 2020
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Resnest: Split-attention networks
Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Zhi Zhang, Haibin Lin, Yue Sun, Tong He, Jonas Mueller, R Manmatha, et al · 2020
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Part-guided attention learning for vehicle re-identification
Xinyu Zhang, Rufeng Zhang, Jiewei Cao, Dong Gong, Mingyu You, and Chunhua Shen · 2020
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Relation-aware global attention for person re-identification
Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Xin Jin, and Zhibo Chen · 2020
Later among the works it cites.
Random erasing data augmentation
Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, and Yi Yang · 2020
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Identity-guided human semantic parsing for person re-identification
Kuan Zhu, Haiyun Guo, Zhiwei Liu, Ming Tang, and Jinqiao Wang · 2020
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Aware loss with angular regularization for person re-identification
Zhihui Zhu, Xinyang Jiang, Feng Zheng, Xiaowei Guo, Feiyue Huang, Xing Sun, and Weishi Zheng · 2020
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Rethinking the distribution gap of person re-identification with camera-based batch normalization
Zijie Zhuang, Longhui Wei, Lingxi Xie, Tianyu Zhang, Hengheng Zhang, Haozhe Wu, Haizhou Ai, and Qi Tian · 2020
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Pre-trained image processing transformer
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, and Wen Gao · 2021
Closest in time.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, and Xiaohua et al. Zhai · 2021
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Transformers in vision: A survey
Salman Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, and Mubarak Shah · 2021
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Deep learning for person re-identification: A survey and outlook
Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, and Steven CH Hoi · 2021
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