The Ninth Visual Object Tracking VOT2021 Challenge Results

Matej Kristan; Jiri Matas; Ales Leonardis; Michael Felsberg; Roman Pflugfelder; Joni Kristian Kamarainen; Hyung Jin Chang; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Jani Kapyla; Gustav Hager; Song Yan; Jinyu Yang; Zhongqun Zhang; Gustavo Fernandez; 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 Jaremo 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

doi:10.1109/ICCVW54120.2021.00305

The Ninth Visual Object Tracking VOT2021 Challenge Results

Matej Kristan, Jiri Matas, Ales Leonardis, Michael Felsberg, Roman Pflugfelder, Joni Kristian Kamarainen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Kapyla, Gustav Hager, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernandez, Mohamed Abdelpakey, Goutam Bhat, Llukman CerkeziHakan 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 Jaremo 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

Department of Electronics and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

79 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - 2021 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2711-2738
Number of pages	28
ISBN (Electronic)	9781665401913
DOIs	https://doi.org/10.1109/ICCVW54120.2021.00305
Publication status	Published - 2021
Event	18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021 - Virtual, Online, Canada Duration: 11 Oct 2021 → 17 Oct 2021

Publication series

Name	Proceedings of the IEEE International Conference on Computer Vision
Volume	2021-October
ISSN (Print)	1550-5499

Conference

Conference	18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021
Country/Territory	Canada
City	Virtual, Online
Period	11/10/21 → 17/10/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Funding

This work was supported in part by the following research programs and projects: Slovenian research agency research program P2-0214 and projects J2-2506, J2-9433, Z2-1866. The challenge was sponsored by the Faculty of Computer Science, University of Ljubljana, Slovenia. This work was partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the Berzelius cluster at NSC, both funded by the Knut and Alice Wallenberg Foundation, as well as by ELLIIT, a strategic research environment funded by the Swedish government and Institute of Information and communications Technology Planning and evaluation (IITP) grant funded by the Korea government (MSIT) (2021-0-00537). Roman Pflugfelder and Gustavo Fernández were supported by the AIT Strategic Research Programme 2021 Visual Surveillance and Insight. Paul Voigtlaender, Jonathon Luiten and Bastian Leibe were supported by ERC Consolidator Grant DeeViSe (ERC-2017-COG-773161) and a Google Faculty Award.

Funders	Funder number
ELLIIT
Faculty of Computer Science, University of Ljubljana
Institute of Information and communications Technology Planning
Slovenian research agency research program	J2-9433, P2-0214, Z2-1866, J2-2506
Swedish government
Google
Ashikaga Institute of Technology	ERC-2017-COG-773161
National Science Council
Knut och Alice Wallenbergs Stiftelse
Institute for Information and Communications Technology Promotion
Ministry of Science and ICT, South Korea	2021-0-00537

Access to Document

10.1109/ICCVW54120.2021.00305

Cite this

Kristan, M., Matas, J., Leonardis, A., Felsberg, M., Pflugfelder, R., Kamarainen, J. K., Chang, H. J., Danelljan, M., Zajc, L. C., Lukezic, A., Drbohlav, O., Kapyla, J., Hager, G., Yan, S., Yang, J., Zhang, Z., Fernandez, G., Abdelpakey, M., Bhat, G., ... Zhu, X. F. (2021). The Ninth Visual Object Tracking VOT2021 Challenge Results. In Proceedings - 2021 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021 (pp. 2711-2738). (Proceedings of the IEEE International Conference on Computer Vision; Vol. 2021-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVW54120.2021.00305

@inproceedings{90a52c364e964271a53ffe7aed6fa3d6,

title = "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.",

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

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021 ; Conference date: 11-10-2021 Through 17-10-2021",

year = "2021",

doi = "10.1109/ICCVW54120.2021.00305",

language = "English",

series = "Proceedings of the IEEE International Conference on Computer Vision",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2711--2738",

booktitle = "Proceedings - 2021 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021",

address = "United States",

}

Kristan, M, Matas, J, Leonardis, A, Felsberg, M, Pflugfelder, R, Kamarainen, JK, Chang, HJ, Danelljan, M, Zajc, LC, Lukezic, A, Drbohlav, O, Kapyla, J, Hager, G, Yan, S, Yang, J, Zhang, Z, Fernandez, G, Abdelpakey, M, Bhat, G, Cerkezi, L, Cevikalp, H, Chen, S, Chen, X, Cheng, M, Cheng, Z, Chiu, YC, Cirakman, O, Cui, Y, Dai, K, Dasari, MM, Deng, Q, Dong, X, Du, DK, Dunnhofer, M, Feng, ZH, Feng, Z, Fu, Z, Ge, S, Gorthi, RK, Gu, Y, Gunsel, B, Guo, Q, Gurkan, F, Han, W, Huang, Y, Lawin, FJ, Jhang, SJ, Ji, R, Jiang, C, Jiang, Y, Juefei-Xu, F, Jun, Y, Ke, X, Khan, FS, Hak Kim, B, Kittler, J, Lan, X, Lee, JH, Leibe, B, Li, H, Li, J, Li, X, Li, Y, Liu, B, Liu, C, Liu, J, Liu, L, Liu, Q, Lu, H, Lu, W, Luiten, J, Ma, J, Ma, Z, Martinel, N, Mayer, C, Memarmoghadam, A, Micheloni, C, Niu, Y, Paudel, D, Peng, H, Qiu, S, Rajiv, A, Rana, M, Robinson, A, Saribas, H, Shao, L, Shehata, M, Shen, F, Shen, J, Simonato, K, Song, X, Tang, Z, Timofte, R, Torr, P, Tsai, CY, Uzun, B, Van Gool, L, Voigtlaender, P, Wang, D, Wang, G, Wang, L, Wang, L, Wang, L, Wang, L, Wang, Y, Wang, Y, Wu, C, Wu, G, Wu, XJ, Xie, F, Xu, T, Xu, X, Xue, W, Yan, B, Yang, W, Yang, X, Ye, Y, Yin, J, Zhang, C, Zhang, C, Zhang, H, Zhang, K, Zhang, K, Zhang, X, Zhang, X, Zhang, X, Zhang, Z, Zhao, S, Zhen, M, Zhong, B, Zhu, J & Zhu, XF 2021, The Ninth Visual Object Tracking VOT2021 Challenge Results. in Proceedings - 2021 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021. Proceedings of the IEEE International Conference on Computer Vision, vol. 2021-October, Institute of Electrical and Electronics Engineers Inc., pp. 2711-2738, 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Virtual, Online, Canada, 11/10/21. https://doi.org/10.1109/ICCVW54120.2021.00305

The Ninth Visual Object Tracking VOT2021 Challenge Results. / Kristan, Matej; Matas, Jiri; Leonardis, Ales et al.
Proceedings - 2021 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 2711-2738 (Proceedings of the IEEE International Conference on Computer Vision; Vol. 2021-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Leonardis, Ales

AU - Felsberg, Michael

AU - Pflugfelder, Roman

AU - Kamarainen, Joni Kristian

AU - Chang, Hyung Jin

AU - Danelljan, Martin

AU - Zajc, Luka Cehovin

AU - Lukezic, Alan

AU - Drbohlav, Ondrej

AU - Kapyla, Jani

AU - Hager, Gustav

AU - Yan, Song

AU - Yang, Jinyu

AU - Zhang, Zhongqun

AU - Fernandez, Gustavo

AU - Abdelpakey, Mohamed

AU - Bhat, Goutam

AU - Cerkezi, Llukman

AU - Cevikalp, Hakan

AU - Chen, Shengyong

AU - Chen, Xin

AU - Cheng, Miao

AU - Cheng, Ziyi

AU - Chiu, Yu Chen

AU - Cirakman, Ozgun

AU - Cui, Yutao

AU - Dai, Kenan

AU - Dasari, Mohana Murali

AU - Deng, Qili

AU - Dong, Xingping

AU - Du, Daniel K.

AU - Dunnhofer, Matteo

AU - Feng, Zhen Hua

AU - Feng, Zhiyong

AU - Fu, Zhihong

AU - Ge, Shiming

AU - Gorthi, Rama Krishna

AU - Gu, Yuzhang

AU - Gunsel, Bilge

AU - Guo, Qing

AU - Gurkan, Filiz

AU - Han, Wencheng

AU - Huang, Yanyan

AU - Lawin, Felix Jaremo

AU - Jhang, Shang Jhih

AU - Ji, Rongrong

AU - Jiang, Cheng

AU - Jiang, Yingjie

AU - Juefei-Xu, Felix

AU - Jun, Yin

AU - Ke, Xiao

AU - Khan, Fahad Shahbaz

AU - Hak Kim, Byeong

AU - Kittler, Josef

AU - Lan, Xiangyuan

AU - Lee, Jun Ha

AU - Leibe, Bastian

AU - Li, Hui

AU - Li, Jianhua

AU - Li, Xianxian

AU - Li, Yuezhou

AU - Liu, Bo

AU - Liu, Chang

AU - Liu, Jingen

AU - Liu, Li

AU - Liu, Qingjie

AU - Lu, Huchuan

AU - Lu, Wei

AU - Luiten, Jonathon

AU - Ma, Jie

AU - Ma, Ziang

AU - Martinel, Niki

AU - Mayer, Christoph

AU - Memarmoghadam, Alireza

AU - Micheloni, Christian

AU - Niu, Yuzhen

AU - Paudel, Danda

AU - Peng, Houwen

AU - Qiu, Shoumeng

AU - Rajiv, Aravindh

AU - Rana, Muhammad

AU - Robinson, Andreas

AU - Saribas, Hasan

AU - Shao, Ling

AU - Shehata, Mohamed

AU - Shen, Furao

AU - Shen, Jianbing

AU - Simonato, Kristian

AU - Song, Xiaoning

AU - Tang, Zhangyong

AU - Timofte, Radu

AU - Torr, Philip

AU - Tsai, Chi Yi

AU - Uzun, Bedirhan

AU - Van Gool, Luc

AU - Voigtlaender, Paul

AU - Wang, Dong

AU - Wang, Guangting

AU - Wang, Liangliang

AU - Wang, Lijun

AU - Wang, Limin

AU - Wang, Linyuan

AU - Wang, Yong

AU - Wang, Yunhong

AU - Wu, Chenyan

AU - Wu, Gangshan

AU - Wu, Xiao Jun

AU - Xie, Fei

AU - Xu, Tianyang

AU - Xu, Xiang

AU - Xue, Wanli

AU - Yan, Bin

AU - Yang, Wankou

AU - Yang, Xiaoyun

AU - Ye, Yu

AU - Yin, Jun

AU - Zhang, Chengwei

AU - Zhang, Chunhui

AU - Zhang, Haitao

AU - Zhang, Kaihua

AU - Zhang, Kangkai

AU - Zhang, Xiaohan

AU - Zhang, Xiaolin

AU - Zhang, Xinyu

AU - Zhang, Zhibin

AU - Zhao, Shaochuan

AU - Zhen, Ming

AU - Zhong, Bineng

AU - Zhu, Jiawen

AU - Zhu, Xue Feng

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

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DO - 10.1109/ICCVW54120.2021.00305

M3 - Conference contribution

AN - SCOPUS:85118440625

T3 - Proceedings of the IEEE International Conference on Computer Vision

SP - 2711

EP - 2738

BT - Proceedings - 2021 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021

Y2 - 11 October 2021 through 17 October 2021

ER -

Kristan M, Matas J, Leonardis A, Felsberg M, Pflugfelder R, Kamarainen JK et al. The Ninth Visual Object Tracking VOT2021 Challenge Results. In Proceedings - 2021 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 2711-2738. (Proceedings of the IEEE International Conference on Computer Vision). doi: 10.1109/ICCVW54120.2021.00305

The Ninth Visual Object Tracking VOT2021 Challenge Results

Abstract

Publication series

Conference

Bibliographical note

Funding

Access to Document

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