The Ninth Visual Object Tracking VOT2021 Challenge Results
Abstract
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 website1.
Cite
Text
Kristan et al. "The Ninth Visual Object Tracking VOT2021 Challenge Results." IEEE/CVF International Conference on Computer Vision Workshops, 2021. doi:10.1109/ICCVW54120.2021.00305Markdown
[Kristan et al. "The Ninth Visual Object Tracking VOT2021 Challenge Results." IEEE/CVF International Conference on Computer Vision Workshops, 2021.](https://mlanthology.org/iccvw/2021/kristan2021iccvw-ninth/) doi:10.1109/ICCVW54120.2021.00305BibTeX
@inproceedings{kristan2021iccvw-ninth,
title = {{The Ninth Visual Object Tracking VOT2021 Challenge Results}},
author = {Kristan, Matej and Matas, Jirí and Leonardis, Ales and Felsberg, Michael and Pflugfelder, Roman P. and Kämäräinen, Joni-Kristian and Chang, Hyung Jin and Danelljan, Martin and Zajc, Luka Cehovin and Lukezic, Alan and Drbohlav, Ondrej and Käpylä, Jani and Häger, Gustav and Yan, Song and Yang, Jinyu and Zhang, Zhongqun and Fernández, Gustavo and Abdelpakey, Mohamed H. and Bhat, Goutam and Cerkezi, Llukman and Cevikalp, Hakan and Chen, Shengyong and Chen, Xin and Cheng, Miao and Cheng, Ziyi and Chiu, Yu-Chen and Cirakman, Ozgun and Cui, Yutao and Dai, Kenan and Dasari, Mohana Murali and Deng, Qili and Dong, Xingping and Du, Daniel K. and Dunnhofer, Matteo and Feng, Zhenhua and Feng, Zhiyong and Fu, Zhihong and Ge, Shiming and Gorthi, Rama Krishna and Gu, Yuzhang and Günsel, Bilge and Guo, Qing and Gurkan, Filiz and Han, Wencheng and Huang, Yanyan and Lawin, Felix Järemo and Jhang, Shang-Jhih and Ji, Rongrong and Jiang, Cheng and Jiang, Yingjie and Juefei-Xu, Felix and Yin, J. and Ke, Xiao and Khan, Fahad Shahbaz and Kim, Byeong Hak and Kittler, Josef and Lan, Xiangyuan and Lee, Jun Ha and Leibe, Bastian and Li, Hui and Li, Jianhua and Li, Xianxian and Li, Yuezhou and Liu, Bo and Liu, Chang and Liu, Jingen and Liu, Li and Liu, Qingjie and Lu, Huchuan and Lu, Wei and Luiten, Jonathon and Ma, Jie and Ma, Ziang and Martinel, Niki and Mayer, Christoph and Memarmoghadam, Alireza and Micheloni, Christian and Niu, Yuzhen and Paudel, Danda Pani and Peng, Houwen and Qiu, Shoumeng and Rajiv, Aravindh and Rana, Muhammad and Robinson, Andreas and Saribas, Hasan and Shao, Ling and Shehata, Mohamed and Shen, Furao and Shen, Jianbing and Simonato, Kristian and Song, Xiaoning and Tang, Zhangyong and Timofte, Radu and Torr, Philip H. S. and Tsai, Chi-Yi and Uzun, Bedirhan and Van Gool, Luc and Voigtlaender, Paul and Wang, Dong and Wang, Guangting and Wang, Liangliang and Wang, Lijun and Wang, Limin and Wang, Linyuan and Wang, Yong and Wang, Yunhong and Wu, Chenyan and Wu, Gangshan and Wu, Xiaojun and Xie, Fei and Xu, Tianyang and Xu, Xiang and Xue, Wanli and Yan, Bin and Yang, Wankou and Yang, Xiaoyun and Ye, Yu and Yin, Jun and Zhang, Chengwei and Zhang, Chunhui and Zhang, Haitao and Zhang, Kaihua and Zhang, Kangkai and Zhang, Xiaohan and Zhang, Xiaolin and Zhang, Xinyu and Zhang, Zhibin and Zhao, Shao-Chuan and Zhen, Ming and Zhong, Bineng and Zhu, Jiawen and Zhu, Xuefeng},
booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
year = {2021},
pages = {2711-2738},
doi = {10.1109/ICCVW54120.2021.00305},
url = {https://mlanthology.org/iccvw/2021/kristan2021iccvw-ninth/}
}