The Ninth Visual Object Tracking VOT2021 Challenge Results.

Matej Kristan,Jirí Matas,Ales Leonardis,Michael Felsberg,Roman P. Pflugfelder,Joni-Kristian Kämäräinen,Hyung Jin Chang,Martin Danelljan,Luka Cehovin Zajc,Alan Lukezic,Ondrej Drbohlav,Jani Käpylä,Gustav Häger,Song Yan,Jinyu Yang,Zhongqun Zhang,Gustavo Fernández,Mohamed H. Abdelpakey,Goutam Bhat,Llukman Cerkezi,Hakan Cevikalp,Shengyong Chen,Xin Chen,Miao Cheng,Ziyi Cheng,Yu-Chen Chiu,Ozgun Cirakman,Yutao Cui,Kenan Dai,Mohana Murali Dasari,Qili Deng,Xingping Dong,Daniel K. Du,Matteo Dunnhofer,Zhen-Hua Feng,Zhiyong Feng,Zhihong Fu,Shiming Ge,Rama Krishna Gorthi,Yuzhang Gu,Bilge Gunsel,Qing Guo,Filiz Gurkan,Wencheng Han,Yanyan Huang,Felix Järemo Lawin,Shang-Jhih Jhang,Rongrong Ji,Cheng Jiang,Yingjie Jiang,Felix Juefei-Xu,J. Yin,Xiao Ke,Fahad Shahbaz Khan,Byeong Hak Kim,Josef Kittler,Xiangyuan Lan,Jun Ha Lee,Bastian Leibe,Hui Li,Jianhua Li,Xianxian Li,Yuezhou Li,Bo Liu,Chang Liu,Jingen Liu,Li Liu,Qingjie Liu,Huchuan Lu,Wei Lu,Jonathon Luiten,Jie Ma,Ziang Ma,Niki Martinel,Christoph Mayer,Alireza Memarmoghadam,Christian Micheloni,Yuzhen Niu,Danda Pani Paudel,Houwen Peng,Shoumeng Qiu,Aravindh Rajiv,Muhammad Rana,Andreas Robinson,Hasan Saribas,Ling Shao,Mohamed Shehata,Furao Shen,Jianbing Shen,Kristian Simonato,Xiaoning Song,Zhangyong Tang,Radu Timofte,Philip H. S. Torr,Chi-Yi Tsai,Bedirhan Uzun,Luc Van Gool,Paul Voigtlaender,Dong Wang,Guangting Wang,Liangliang Wang,Lijun Wang,Limin Wang,Linyuan Wang,Yong Wang,Yunhong Wang,Chenyan Wu,Gangshan Wu,Xiaojun Wu,Fei Xie,Tianyang Xu,Xiang Xu,Wanli Xue,Bin Yan,Wankou Yang,Xiaoyun Yang,Yu Ye,Jun Yin,Chengwei Zhang,Chunhui Zhang,Haitao Zhang,Kaihua Zhang,Kangkai Zhang,Xiaohan Zhang,Xiaolin Zhang,Xinyu Zhang,Zhibin Zhang,Shao-Chuan Zhao,Ming Zhen,Bineng Zhong,Jiawen Zhu,Xuefeng Zhu

2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021)(2021)

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摘要
The Visual Object Tracking challenge VOT2021 is the ninth annual tracker benchmarking activity organized by the VOT initiative. Results of 71 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in recent years. The VOT2021 challenge was composed of four sub-challenges focusing on different tracking domains: (i) VOT-ST2021 challenge focused on short-term tracking in RGB, (ii) VOT-RT2021 challenge focused on "real-time" short-term tracking in RGB, (iii) VOT-LT2021 focused on long-term tracking, namely coping with target disappearance and reappearance and (iv) VOT-RGBD2021 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2021 dataset was refreshed, while VOT-RGBD2021 introduces a training dataset and sequestered dataset for winner identification. The source code for most of the trackers, the datasets, the evaluation kit and the results along with the source code for most trackers are publicly available at the challenge website(1).
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VOT-ST2021 challenge,short-term tracking,RGB,VOT-RT2021 challenge,VOT-LT2021,long-term tracking,reappearance,VOT-ST2021 dataset,VOT-RGBD2021,Visual Object Tracking challenge VOT2021,ninth annual tracker benchmarking activity,VOT initiative,tracking domains
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