SoccerNet 2022 Challenges Results
Creators: name: Giancola, Silvio
name: Cioppa, Anthony
name: Deliège, Adrien
name: Magera, Floriane
name: Somers, Vladimir
name: Kang, Le
name: Zhou, Xin
name: Barnich, Olivier
name: De Vleeschouwer, Christophe
name: Alahi, Alexandre
name: Ghanem, Bernard
name: Van Droogenbroeck, Marc
name: Darwish, Abdulrahman
name: Maglo, Adrien
name: Clapés, Albert
name: Luyts, Andreas
name: Boiarov, Andrei
name: Xarles, Artur
name: Orcesi, Astrid
name: Shah, Avijit
name: Fan, Baoyu
name: Comandur, Bharath
name: Chen, Chen
name: Zhang, Chen
name: Zhao, Chen
name: Lin, Chengzhi
name: Chan, Cheuk-Yiu
name: Hui, Chun Chuen
name: Li, Dengjie
name: Yang, Fan
name: Liang, Fan
name: Da, Fang
name: Yan, Feng
name: Yu, Fufu
name: Wang, Guanshuo
name: Chan, H. Anthony
name: Zhu, He
name: Kan, Hongwei
name: Chu, Jiaming
name: Hu, Jianming
name: Gu, Jianyang
name: Chen, Jin
name: Soares, João V. B.
name: Theiner, Jonas
name: De Corte, Jorge
name: Brito, José Henrique
name: Zhang, Jun
name: Li, Junjie
name: Liang, Junwei
name: Shen, Leqi
name: Ma, Lin
name: Chen, Lingchi
name: Santos Marques, Miguel
name: Azatov, Mike
name: Kasatkin, Nikita
name: Wang, Ning
name: Jia, Qiong
name: Pham, Quoc Cuong
name: Ewerth, Ralph
name: Song, Ran
name: Li, Rengang
name: Gade, Rikke
name: Debien, Ruben
name: Zhang, Runze
name: Lee, Sangrok
name: Escalera, Sergio
name: Jiang, Shan
name: Odashima, Shigeyuki
name: Chen, Shimin
name: Masui, Shoichi
name: Ding, Shouhong
name: Chan, Sin-Wai
name: Chen, Siyu
name: El-Shabrawy, Tallal
name: He, Tao
name: Moeslund, Thomas B.
name: Siu, Wan-Chi
name: Zhang, Wei
name: Li, Wei
name: Wang, Xiangwei
name: Tan, Xiao
name: Li, Xiaochuan
name: Wei, Xiaolin
name: Ye, Xiaoqing
name: Liu, Xing
name: Wang, Xinying
name: Guo, Yandong
name: Zhao, Yaqian
name: Yu, Yi
name: Li, Yingying
name: He, Yue
name: Zhong, Yujie
name: Guo, Zhenhua
name: Li, Zhiheng
Publisher: name: New York, NY : Association for Computing Machinery
Year: 2022
Subjects: subject: challenges
subject: computer vision
subject: datasets
subject: neural networks
subject: soccer
subject: video understanding
subject: Konferenzschrift

description: The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks: (1) action spotting, focusing on retrieving action timestamps in long untrimmed videos, (2) replay grounding, focusing on retrieving the live moment of an action shown in a replay, (3) pitch localization, focusing on detecting line and goal part elements, (4) camera calibration, dedicated to retrieving the intrinsic and extrinsic camera parameters, (5) player re-identification, focusing on retrieving the same players across multiple views, and (6) multiple object tracking, focusing on tracking players and the ball through unedited video streams. Compared to last year's challenges, tasks (1-2) had their evaluation metrics redefined to consider tighter temporal accuracies, and tasks (3-6) were novel, including their underlying data and annotations. More information on the tasks, challenges and leaderboards are available on https://www.soccer-net.org. Baselines and development kits are available on https://github.com/SoccerNet.