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The Ninth Visual Object Tracking VOT2021 Challenge Results
Matej Kristan;Jiří Matas;Aleš Leonardis;Michael Felsberg;Roman Pflugfelder;Joni-Kristian Kämäräinen;Hyung Jin Chang;Martin Danelljan;Luka Čehovin Zajc;Alan Lukežič;Ondrej Drbohlav;Jani Käpylä;Gustav Häger;Song Yan;Jinyu Yang;Zhongqun Zhang;Gustavo Fernández;Mohamed 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;Yin Jun;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 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 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;Xiao-Jun 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;Shaochuan Zhao;Ming Zhen;Bineng Zhong;Jiawen Zhu;Xue-Feng Zhu
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Year: 2021 | Conference Paper |
Cited by: Papers (63)
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 challen...Show More
The Ninth Visual Object Tracking VOT2021 Challenge Results
Matej Kristan;Jiří Matas;Aleš Leonardis;Michael Felsberg;Roman Pflugfelder;Joni-Kristian Kämäräinen;Hyung Jin Chang;Martin Danelljan;Luka Čehovin Zajc;Alan Lukežič;Ondrej Drbohlav;Jani Käpylä;Gustav Häger;Song Yan;Jinyu Yang;Zhongqun Zhang;Gustavo Fernández;Mohamed 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;Yin Jun;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 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 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;Xiao-Jun 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;Shaochuan Zhao;Ming Zhen;Bineng Zhong;Jiawen Zhu;Xue-Feng Zhu
Year: 2021 | Conference Paper |
Siamese tracking methods have become the focus of visual tracking in recent years. Advanced Siamese trackers perform well on certain benchmarks, but there are still some limitations. First, most Siamese trackers adopt the initial frame as a single template, which leads to underfitting and reduces the ability to predict instances. Second, mainstream trackers report a rectangular bounding box as a p...Show More
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