SoccerNet 2023 Challenges Results

Anthony Cioppa,Silvio Giancola,Vladimir Somers,Floriane Magera,Xin Zhou,Hassan Mkhallati,Adrien Deliège,Jan Held,Carlos Hinojosa,Amir M. Mansourian,Pierre Miralles,Olivier Barnich,Christophe De Vleeschouwer,Alexandre Alahi,Bernard Ghanem,Marc Van Droogenbroeck,Abdullah Kamal,Adrien Maglo,Albert Clapés,Amr Abdelaziz,Artur Xarles,Astrid Orcesi,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,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,Rui Peng,Ruilong Chen,Ruixuan Liu,Ruslan Baikulov,Ryuto Fukushima,Sergio Escalera,Seungcheon Lee,Shimin Chen,Shouhong Ding,Taiga Someya,Thomas B. 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

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.

翻译：SoccerNet 2023挑战赛是SoccerNet团队组织的第三届年度视频理解挑战赛。本届挑战赛包含七项基于视觉的任务，分为三大主题。第一个主题为“广播视频理解”，由三项与视频广播中事件描述相关的高层任务组成：（1）动作定位——专注于检索足球比赛中全局动作的所有时间戳；（2）足球动作定位——专注于检索足球状态变化的所有时间戳；（3）密集视频描述——专注于用自然语言和锚定时间戳描述广播内容。第二个主题为“球场理解”，涉及单一任务：（4）相机标定——专注于从图像中检索相机内参和外参。第三个主题为“球员理解”，由三项与球员信息提取相关的底层任务组成：（5）行人重识别——专注于在多个视角中检索同一球员；（6）多目标跟踪——专注于通过未剪辑视频流跟踪球员和足球；（7）球衣号码识别——专注于从轨迹片段中识别球员的球衣号码。与往届SoccerNet挑战赛相比，任务（2-3-7）为新增任务，包含新标注和数据；任务（4）通过更多数据和标注得到增强；任务（6）现专注于端到端方法。更多关于任务、挑战和排行榜的信息可访问https://www.soccer-net.org。基线模型和开发工具包可在https://github.com/SoccerNet获取。