| Title: |
SoccerNet 2023 Challenges Results |
| Authors: |
Cioppa, Anthony; Giancola, Silvio; Somers, Vladimir; Magera, Floriane; Zhou, Xin; Mkhallati, Hassan; Deliege, Adrien; Held, Jan; Hinojosa, Carlos; Mansourian, Amir M.; Miralles, Pierre; Barnich, Olivier; Vleeschouwer, Christophe De; Alahi, Alexandre; Ghanem, Bernard; Droogenbroeck, Marc Van; Kamal, Abdullah; Maglo, Adrien; Clapes, 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; Ardo, Hakan; 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; H�rault, 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 |
| Contributors: |
King Abdullah University of Science and Technology (KAUST).; Visual Computing Center (VCC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division; University of Liege (ULi`ege) |
| Publisher Information: |
arXiv |
| Publication Year: |
2023 |
| Collection: |
King Abdullah University of Science and Technology: KAUST Repository |
| Description: |
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. ; A. Cioppa is funded by the F.R.S.-FNRS. This work was partly supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research through the Visual Computing Center (VCC) funding and the SDAIA-KAUST Center of Excellence in Data Science and Artificial Intelligence (SDAIA-KAUST AI). |
| Document Type: |
report |
| File Description: |
application/pdf |
| Language: |
unknown |
| Relation: |
https://arxiv.org/pdf/2309.06006.pdf; 2309.06006; http://hdl.handle.net/10754/694426 |
| Availability: |
http://hdl.handle.net/10754/694426 |
| Rights: |
This is a preprint version of a paper and has not been peer reviewed. Archived with thanks to arXiv. |
| Accession Number: |
edsbas.3AA3CE |
| Database: |
BASE |