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In this work, we propose a novel paradigm to encode the position of targets for target tracking in videos using transformers.
Random features for large-scale kernel machines
Ali Rahimi and Benjamin Recht · 2007
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Simple online and realtime tracking
Alex Bewley, Zongyuan Ge, Lionel Ott, Fabio 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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Mot16: A benchmark for multi-object tracking
Anton Milan, Laura Leal-Taixé, Ian Reid, Stefan Roth, and Konrad Schindler · 2016
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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The 2017 davis challenge on video object segmentation
Jordi Pont-Tuset, Federico Perazzi, Sergi Caelles, Pablo Arbeláez, Alex Sorkine-Hornung, and Luc Van Gool · 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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Crowdhuman: A benchmark for detecting human in a crowd
Shuai Shao, Zijian Zhao, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, and Jian Sun · 2018
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Deep cosine metric learning for person re-identification
Nicolai Wojke and Alex Bewley · 2018
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Youtube-vos: A large-scale video object segmentation benchmark
Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, and Thomas Huang · 2018
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Mots: Multi-object tracking and segmentation
Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, and Bastian Leibe · 2019
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Detectron2
Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick · 2019
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Reconstructing continuous distributions of 3d protein structure from cryo-em images
Ellen D Zhong, Tristan Bepler, Joseph H Davis, and Bonnie Berger · 2019
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Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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MMTracking: OpenMMLab video perception toolbox and benchmark
MMTracking Contributors · 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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Quasi-dense similarity learning for multiple object tracking
Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, and Fisher Yu · 2021
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Learning to track with object permanence
Pavel Tokmakov, Jie Li, Wolfram Burgard, and Adrien Gaidon · 2021
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End-to-end video instance segmentation with transformers
Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, and Huaxia Xia · 2021
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Step: Segmenting and tracking every pixel
Mark Weber, Jun Xie, Maxwell Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, et al · 2021
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Track to detect and segment: An online multi-object tracker
Jialian Wu, Jiale Cao, Liangchen Song, Yu Wang, Ming Yang, and Junsong Yuan · 2021
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Peize Sun, Jinkun Cao, Yi Jiang, Rufeng Zhang, Enze Xie, Zehuan Yuan, Changhu Wang, and Ping Luo · 2020
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Efficientdet: Scalable and efficient object detection
Mingxing Tan, Ruoming Pang, and Quoc V Le · 2020
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Fourier features let networks learn high frequency functions in low dimensional domains
Matthew Tancik, Pratul Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan Barron, and Ren Ng · 2020
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Remots: Self-supervised refining multi-object tracking and segmentation
Fan Yang, Xin Chang, Chenyu Dang, Ziqiang Zheng, Sakriani Sakti, Satoshi Nakamura, and Yang Wu · 2020
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Tracking objects as points
Xingyi Zhou, Vladlen Koltun, and Philipp Krähenbühl · 2020
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Real-time and online segmentation multi-target tracking with track revival re-identification
Martin Ahrnbom, Mikael G Nilsson, and Håkan Ardö · 2021
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Yolox: Exceeding yolo series in 2021
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Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, and Xavier Alameda-Pineda · 2021
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Motr: End-to-end multiple-object tracking with transformer
Fangao Zeng, Bin Dong, Tiancai Wang, Xiangyu Zhang, and Yichen Wei · 2021
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Rethinking positional encoding
Jianqiao Zheng, Sameera Ramasinghe, and Simon Lucey · 2021
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Memot: Multi-object tracking with memory
Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, and Stefano Soatto · 2022
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Observation-centric sort: Rethinking sort for robust multi-object tracking
Jinkun Cao, Xinshuo Weng, Rawal Khirodkar, Jiangmiao Pang, and Kris Kitani · 2022
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Trackformer: Multi-object tracking with transformers
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixe, and Christoph Feichtenhofer · 2022
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Dancetrack: Multi-object tracking in uniform appearance and diverse motion
Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, and Ping Luo · 2022
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Xingyi Zhou, Tianwei Yin, Vladlen Koltun, and Philipp Krähenbühl · 2022
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