SoccerNet 2023 challenges results

Anthony Cioppa (1) , Silvio Giancola , Vladimir Somers , Floriane Magera (1) , Xin Zhou , Hassan Mkhallati (2) , Adrien Deliège (1) , Jan Held (1) , Carlos Hinojosa (3) , Amir Mansourian , Pierre Miralles , Olivier Barnich , Christophe de Vleeschouwer (4) , Alexandre Alahi (5) , Bernard Ghanem (6) , Marc van Droogenbroeck , Abdullah Kamal , Adrien Maglo (7) , Albert Clapés (8) , Amr Abdelaziz , Artur Xarles (9) , Astrid Orcesi (10) , Atom Scott , Bin Liu , Byoungkwon Lim , Chen Chen , Fabian Deuser , Feng Yan , Fufu Yu , Gal Shitrit , Guanshuo Wang , Gyusik Choi , Hankyul Kim , Hao Guo , Hasby Fahrudin , Hidenari Koguchi , Håkan Ardö , Ibrahim Salah , Ido Yerushalmy , Iftikar Muhammad , Ikuma Uchida , Ishay Be'Ery , Jaonary Rabarisoa , Jeongae Lee , Jiajun Fu , Jianqin Yin , Jinghang Xu , Jongho Nang , Julien Denize (11) , Junjie Li , Junpei Zhang , Juntae Kim , Kamil Synowiec , Kenji Kobayashi , Kexin Zhang , Konrad Habel , Kota Nakajima , Licheng Jiao , Lin Ma , Lizhi Wang , Luping Wang , Menglong Li , Mengying Zhou , Mohamed Nasr , Mohamed Abdelwahed , Mykola Liashuha , Nikolay Falaleev , Norbert Oswald , Qiong Jia , Quoc-Cuong Pham , Ran Song , Romain Hérault (12, 13) , Rui Peng , Ruilong Chen , Ruixuan Liu , Ruslan Baikulov , Ryuto Fukushima , Sergio Escalera , Seungcheon Lee , Shimin Chen , Shouhong Ding , Taiga Someya , Thomas Moeslund , Tianjiao Li , Wei Shen , Wei Zhang , Wei Li , Wei Dai , Weixin Luo , Wending Zhao , Wenjie Zhang , Xinquan Yang , Yanbiao Ma , Yeeun Joo , Yingsen Zeng , Yiyang Gan , Yongqiang Zhu , Yujie Zhong , Zheng Ruan , Zhiheng Li , Zhijian Huang , Ziyu Meng

1 Université de Liège
2 ULB - Université libre de Bruxelles
3 UIS - Universidad Industrial de Santander [Bucaramanga]
4 ICTEAM - Institute of Information and Communication Technologies, Electronics and Applied Mathematics
5 EPFL - Ecole Polytechnique Fédérale de Lausanne
6 KAUST - King Abdullah University of Science and Technology [Saudi Arabia]
7 DIASI (CEA, LIST) - Département Intelligence Ambiante et Systèmes Interactifs
8 CVC - Computer Vision Center (Centre de visio per computador)
9 UB - Universitat de Barcelona
10 CEA - CEA- Saclay
11 LITIS - Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes
12 App - LITIS - Equipe Apprentissage
13 Equipe Image - Laboratoire GREYC - UMR6072

The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vision-based tasks split into three main themes. The first theme, broadcast video understanding, is composed of three high-level tasks related to describing events occurring in the video broadcasts: (1) action spotting, focusing on retrieving all timestamps related to global actions in soccer, (2) ball action spotting, focusing on retrieving all timestamps related to the soccer ball change of state, and (3) dense video captioning, focusing on describing the broadcast with natural language and anchored timestamps. The second theme, field understanding, relates to the single task of (4) camera calibration, focusing on retrieving the intrinsic and extrinsic camera parameters from images. The third and last theme, player understanding, is composed of three low-level tasks related to extracting information about the players: (5) re-identification, focusing on retrieving the same players across multiple views, (6) multiple object tracking, focusing on tracking players and the ball through unedited video streams, and (7) jersey number recognition, focusing on recognizing the jersey number of players from tracklets. Compared to the previous editions of the SoccerNet challenges, tasks (2-3-7) are novel, including new annotations and data, task (4) was enhanced with more data and annotations, and task (6) now focuses on end-to-end approaches. More information on the tasks, challenges, and leaderboards are available on https://www.soccer-net.org. Baselines and development kits can be found on https://github.com/SoccerNet.

Mots clés: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); FOS: Computer and information sciences; Soccer; artificial intelligence; computer vision; datasets; challenges; video understanding

Domaines: Machine Learning [stat.ML]

Anthony Cioppa, Silvio Giancola, Vladimir Somers, Floriane Magera, Xin Zhou, et al.. SoccerNet 2023 challenges results. 2023, ⟨10.48550/arXiv.2309.06006⟩. ⟨hal-04462235⟩