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MIL: Boris Babenko, Ming-Hsuan Yang, Serge Belongie. "Visual Tracking with Online Multiple Instance Learning", CVPR(2019). [paper]
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MOSSE: David S. Bolme, J. Ross Beveridge, Bruce A. Draper, Yui Man Lui. "Visual Object Tracking using Adaptive Correlation Filters", ICCV(2010). [paper] [project]
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CSK：João F,Henriques,Rui Caseiro,Pedro Martins,Jorge Batista. "Exploiting the Circulant Structure of Tracking-by-detection with Kernels". ECCV(2012). [paper] [project]
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KCF: João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista. "High-Speed Tracking with Kernelized Correlation Filters", TPAMI (2015). [paper][project]
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CN: Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg ,Joost van de Weijer. "Adaptive Color Attributes for Real-Time Visual Tracking", CVPR (2014).[paper][project]
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STC: Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang, David Zhang. "Fast Tracking via Spatio-Temporal Context Learning", ECCV (2014).[paper][project]
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DSST： Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan and Michael Felsberg. "Accurate Scale Estimation for Robust Visual Tracking", BMVC (2014).[paper][project]
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fDSST: Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. "Discriminative Scale Space Tracking", TPAMI (2017). [paper][project]
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SAMF：Solis Montero, Andres, Jochen Lang, Robert Laganiere. "Scalable Kernel Correlation Filter with Sparse Feature Integration",ICCV workshop (2015).[paper][github]
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Staple:Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H.S. Torr. "Staple: Complementary Learners for Real-Time Tracking", CVPR (2016). [paper][project][github]
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SRDCF:Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. "Learning Spatially Regularized Correlation Filters for Visual Tracking", ICCV (2015).[paper][project]
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DiMP:Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte. "Learning Discriminative Model Prediction for Tracking". [paper][github]
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C-COT: Martin Danelljan, Andreas Robinson, Fahad Khan, Michael Felsberg. "Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking". ECCV (2016). [paper] [project] [github]
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ECO： Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. "ECO: Efficient Convolution Operators for Tracking". CVPR (2017). [paper] [supp] [project] [github]
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SiameseFC:Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H.S. Torr. "Fully-Convolutional Siamese Networks for Object Tracking". ECCV workshop (2016).[paper][project][github]
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SiamRPN:Bo Li, Wei Wu, Zheng Zhu, Junjie Yan. "High Performance Visual Tracking with Siamese Region Proposal Network". CVPR (2018).[paper]
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SiamMask:Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr. "Fast Online Object Tracking and Segmentation: A Unifying Approach". CVPR (2019). [paper][project][github]
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ATOM: Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. "ATOM: Accurate Tracking by Overlap Maximization". CVPR (2019). [paper] [github]
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OTB2013：Wu Yi, Jongwoo Lim, Ming-Hsuan Yang. "Online Object Tracking: A Benchmark", CVPR (2013). [paper]
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OTB2015：Wu Yi, Jongwoo Lim, Ming-Hsuan Yang. "Object Tracking Benchmark", TPAMI(2015). [paper] [project]
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VOT：[project]
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GOT-10k:Lianghua Huang, Xin Zhao, Kaiqi Huang."GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild".[paper][project]
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TColor-128：Pengpeng Liang, Erik Blasch, Haibin Ling. "Encoding color information for visual tracking: Algorithms and benchmark", TIP(2015). [paper] [project]
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UAV123：Matthias Mueller, Neil Smith, Bernard Ghanem. "A Benchmark and Simulator for UAV Tracking", ECCV(2016). [paper] [project]
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Qiujie Dong, Xuedong He, Haiyan Ge, Shengzong Zhou. Adaptive Merging Complementary Learners for Visual Tracking Based on Probabilistic Model[J]. Laser & Optoelectronics Progress, 2019, 56(16): 161505.[paper]
董秋杰, 何雪东, 葛海燕, 周盛宗. 基于概率模型的自适应融合互补学习跟踪算法[J]. 激光与光电子学进展, 2019, 56(16): 161505
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Qiujie Dong, Xuedong He, Haiyan Ge, Qin Liu, Aifu Han and Shengzong Zhou. 2019. Adaptive Model-updated Correlation Filters for Real-time Visual Tracking. In AIAM’ 19: 2019 International Conference on Artificial Intelligence and Advanced Manufacturing, October 17–19, 2019, Dublin, Ireland. ACM, New York, NY, USA, 7 pages.[paper]
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Qiujie Dong, Xuedong He, Haiyan Ge, Qin Liu, Yanting Liu, Ajuan Li, Yuren Zhang, Aifu Han, Shengzong Zhou. "Adopting Feature-Weighted and Scale Adaptive for Real-Time Visual Tracking". IEEE.[paper]
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Qiujie Dong, Xuedong He, Haiyan Ge, Qin Liu, Aifu Han, Shengzong Zhou. "Improving model drift for robust object tracking". Multimedia Tools and Applications volume 79, pages25801–25815(2020)[paper]