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Similarity learning has been recognized as a crucial step for object tracking.
Algorithms for the assignment and transportation problems
James Munkres · 1957
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Finding and tracking people from the bottom up
Deva Ramanan and David A Forsyth · 2003
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Dimensionality reduction by learning an invariant mapping
Raia Hadsell, Sumit Chopra, and Yann LeCun · 2006
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Online multi-target tracking with tensor-based high-order graph matching
Zongwei Zhou, Junliang Xing, Mengdan Zhang, and Weiming Hu · 2006
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Multiple target tracking in world coordinate with single, minimally calibrated camera
Wongun Choi and Silvio Savarese · 2010
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The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
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An online learned CRF model for multi-target tracking
Bo Yang and Ram Nevatia · 2012
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Continuous energy minimization for multitarget tracking
Anton Milan, Stefan Roth, and Konrad Schindler · 2013
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Multiple hypothesis tracking revisited
Chanho Kim, Fuxin Li, Arridhana Ciptadi, and James M. Rehg · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Fully-convolutional siamese networks for object tracking
Luca Bertinetto, Jack Valmadre, Joao F Henriques, Andrea Vedaldi, and Philip HS Torr · 2016
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Simple online and realtime tracking
Alex Bewley, ZongYuan Ge, Lionel Ott, Fabio Tozeto Ramos, and Ben Upcroft · 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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Learning to track at 100 FPS with deep regression networks
David Held, Sebastian Thrun, and Silvio Savarese · 2016
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Learning by tracking: Siamese CNN for robust target association
Laura Leal-Taixé, Cristian Canton-Ferrer, and Konrad Schindler · 2016
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Mot16: A benchmark for multi-object tracking
Anton Milan, Laura Leal-Taixé, Ian Reid, Stefan Roth, and Konrad Schindler · 2016
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Improved deep metric learning with multi-class n-pair loss objective
Kihyuk Sohn · 2016
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POI: multiple object tracking with high performance detection and appearance feature
Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, and Junjie Yan · 2016
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High-speed tracking-by-detection without using image information
Erik Bochinski, Volker Eiselein, and Thomas Sikora · 2017
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Detect to track and track to detect
Christoph Feichtenhofer, Axel Pinz, and Andrew Zisserman · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 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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Tracking the trackers: an analysis of the state of the art in multiple object tracking
Laura Leal-Taixé, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, and Stefan Roth · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
Multi-target tracking using cnn-based features: Cnnmtt
Nima Mahmoudi, Seyed Mohammad Ahadi, and Mohammad Rahmati · 2019
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Libra r-cnn: Towards balanced learning for object detection
Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, and Dahua Lin · 2019
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Scalability in perception for autonomous driving: Waymo open dataset, 2019
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, and Dragomir Anguelov · 2019
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Yonglong Tian, Dilip Krishnan, and Phillip Isola · 2019
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Towards real-time multi-object tracking
Zhongdao Wang, Liang Zheng, Yixuan Liu, and Shengjin Wang · 2019
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Tsung-Yi Lin, Piotr Dollár, Ross B Girshick, Kaiming He, Bharath Hariharan, and Serge J Belongie · 2017
Cited alongside, same era.
Online multi-target tracking using recurrent neural networks
Anton Milan, Seyed Hamid Rezatofighi, Anthony R. Dick, Ian D. Reid, and Konrad Schindler · 2017
Cited alongside, same era.
Tracking the untrackable: Learning to track multiple cues with long-term dependencies
Amir Sadeghian, Alexandre Alahi, and Silvio Savarese · 2017
Cited alongside, same era.
Multi-object tracking with quadruplet convolutional neural networks
Jeany Son, Mooyeol Baek, Minsu Cho, and Bohyung Han · 2017
Cited alongside, same era.
Simple online and realtime tracking with a deep association metric
Nicolai Wojke, Alex Bewley, and Dietrich Paulus · 2017
Cited alongside, same era.
Multi-object tracking with neural gating using bilinear LSTM
Chanho Kim, Fuxin Li, and James M. Rehg · 2018
Cited alongside, same era.
Representation learning with contrastive predictive coding
Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
Cited alongside, same era.
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Video instance segmentation
Linjie Yang, Yuchen Fan, and Ning Xu · 2019
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Learning a neural solver for multiple object tracking
Guillem Brasó and Laura Leal-Taixé · 2020
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Tao: A large-scale benchmark for tracking any object
Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, and Deva Ramanan · 2020
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Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
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Lifted disjoint paths with application in multiple object tracking
Andrea Hornakova, Roberto Henschel, Bodo Rosenhahn, and Paul Swoboda · 2020
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Gsm: Graph similarity model for multi-object tracking
Qiankun Liu, Qi Chu, Bin Liu, and Nenghai Yu · 2020
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Retinatrack: Online single stage joint detection and tracking
Zhichao Lu, Vivek Rathod, Ronny Votel, and Jonathan Huang · 2020
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Tubetk: Adopting tubes to track multi-object in a one-step training model
Bo Pang, Yizhuo Li, Yifan Zhang, Muchen Li, and Cewu Lu · 2020
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Chained-tracker: Chaining paired attentive regression results for end-to-end joint multiple-object detection and tracking
Jinlong Peng, Changan Wang, Fangbin Wan, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, and Yanwei Fu · 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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Bdd100k: A diverse driving dataset for heterogeneous multitask learning
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, and Trevor Darrell · 2020
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Fairmot: On the fairness of detection and re-identification in multiple object tracking
Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, and Wenyu Liu · 2020
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Tracking objects as points
Xingyi Zhou, Vladlen Koltun, and Philipp Krähenbühl · 2020
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