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SoccerNet 2023 Challenges Results

Authors :
Cioppa, Anthony
Giancola, Silvio
Somers, Vladimir
Magera, Floriane
Zhou, Xin
Mkhallati, Hassan
Deliège, Adrien
Held, Jan
Hinojosa, Carlos
Mansourian, Amir M.
Miralles, Pierre
Barnich, Olivier
De Vleeschouwer, Christophe
Alahi, Alexandre
Ghanem, Bernard
Van Droogenbroeck, Marc
Kamal, Abdullah
Maglo, Adrien
Clapés, Albert
Abdelaziz, Amr
Xarles, Artur
Orcesi, Astrid
Scott, Atom
Liu, Bin
Lim, Byoungkwon
Chen, Chen
Deuser, Fabian
Yan, Feng
Yu, Fufu
Shitrit, Gal
Wang, Guanshuo
Choi, Gyusik
Kim, Hankyul
Guo, Hao
Fahrudin, Hasby
Koguchi, Hidenari
Ardö, Håkan
Salah, Ibrahim
Yerushalmy, Ido
Muhammad, Iftikar
Uchida, Ikuma
Be'ery, Ishay
Rabarisoa, Jaonary
Lee, Jeongae
Fu, Jiajun
Yin, Jianqin
Xu, Jinghang
Nang, Jongho
Denize, Julien
Li, Junjie
Zhang, Junpei
Kim, Juntae
Synowiec, Kamil
Kobayashi, Kenji
Zhang, Kexin
Habel, Konrad
Nakajima, Kota
Jiao, Licheng
Ma, Lin
Wang, Lizhi
Wang, Luping
Li, Menglong
Zhou, Mengying
Nasr, Mohamed
Abdelwahed, Mohamed
Liashuha, Mykola
Falaleev, Nikolay
Oswald, Norbert
Jia, Qiong
Pham, Quoc-Cuong
Song, Ran
Hérault, Romain
Peng, Rui
Chen, Ruilong
Liu, Ruixuan
Baikulov, Ruslan
Fukushima, Ryuto
Escalera, Sergio
Lee, Seungcheon
Chen, Shimin
Ding, Shouhong
Someya, Taiga
Moeslund, Thomas B.
Li, Tianjiao
Shen, Wei
Zhang, Wei
Li, Wei
Dai, Wei
Luo, Weixin
Zhao, Wending
Zhang, Wenjie
Yang, Xinquan
Ma, Yanbiao
Joo, Yeeun
Zeng, Yingsen
Gan, Yiyang
Zhu, Yongqiang
Zhong, Yujie
Ruan, Zheng
Li, Zhiheng
Huang, Zhijian
Meng, Ziyu
Publication Year :
2023

Abstract

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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2309.06006
Document Type :
Working Paper