| Autor: |
Shohreh Kasaei, Shaochuan Zhao, Zhen-Hua Feng, Shuhao Chen, Xiaojun Wu, Rama Krishna Sai Subrahmanyam Gorthi, Jianlong Fu, Gustavo Fernandez, Wei Lu, Roman Pflugfelder, Haibin Ling, Yuzhang Gu, Kenan Dai, Hui Li, Martin Danelljan, Felix Järemo Lawin, Jiaqian Yu, Xiaoyun Yang, Yingming Wang, Jinyu Yang, Yuncon Yao, Gian Luca Foresti, Bedirhan Uzun, Xue-Feng Zhu, Heng Fan, Haoran Bai, Houqiang Li, Alexander G. Hauptmann, Thomas B. Schön, Guangqi Chen, Mohana Murali Dasari, Ziang Ma, Pengyu Zhang, Joni-Kristian Kamarainen, Dong Wang, Yunsung Lee, Fei Wang, Fredrik K. Gustafsson, Bin Yan, Ondrej Drbohlav, Song Yan, Fei Xie, Linyuan Wang, Michael Felsberg, Alan Lukežič, Christian Micheloni, Wengang Zhou, Yingjie Jiang, Kaicheng Yu, Chen Qian, Yu Ye, Haojie Zhao, Seyed Mojtaba Marvasti-Zadeh, Huchuan Lu, Bing Li, Jingtao Xu, Jesús Bescós, Matej Kristan, Tianyang Xu, Yushan Zhang, Hasan Saribas, Linbo He, Xiaolin Zhang, Kaiwen Liu, Jun Yin, Lijun Wang, Hakan Cevikalp, Alireza Memarmoghadam, Seokeon Choi, Alvaro Garcia-Martin, Awet Haileslassie Gebrehiwot, Zezhou Wang, Junhyun Lee, Ning Wang, Luca Bertinetto, Hari Chandana Kuchibhotla, Javad Khaghani, Anton Varfolomieiev, Luc Van Gool, Jiří Matas, Josef Kittler, Kang Yang, Xi Qiu, Philip H. S. Torr, Haitao Zhang, Xiao Ke, Ales Leonardis, Weiming Hu, Radu Timofte, Chi-Yi Tsai, Shoumeng Qiu, Zhipeng Zhang, Hossein Ghanei-Yakhdan, Houwen Peng, Luka Čehovin Zajc, Qiang Wang, Andreas Robinson, Matteo Dunnhofer, Yiwei Chen, Zhirong Wu, Jianhua Li, Miao Cheng, Yuezhou Li, Goutam Bhat, Zhijun Mai, Zhangyong Tang, Li Zhang, Li Cheng |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Computer Vision – ECCV 2020 Workshops ISBN: 9783030682378
ECCV Workshops (5) |
| Popis: |
The Visual Object Tracking challenge VOT2020 is the eighth annual tracker benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The VOT2020 challenge was composed of five sub-challenges focusing on different tracking domains: (i) VOT-ST2020 challenge focused on short-term tracking in RGB, (ii) VOT-RT2020 challenge focused on “real-time” short-term tracking in RGB, (iii) VOT-LT2020 focused on long-term tracking namely coping with target disappearance and reappearance, (iv) VOT-RGBT2020 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2020 challenge focused on long-term tracking in RGB and depth imagery. Only the VOT-ST2020 datasets were refreshed. A significant novelty is introduction of a new VOT short-term tracking evaluation methodology, and introduction of segmentation ground truth in the VOT-ST2020 challenge – bounding boxes will no longer be used in the VOT-ST challenges. A new VOT Python toolkit that implements all these novelites was introduced. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website (http://votchallenge.net). |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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