@InProceedings{SilvioGiancola2022,
author="Silvio Giancola
and Anthony Cioppa
and Adrien Deliege
and Floriane Magera
and Vladimir Somers
and Le Kang
and Xin Zhou
and Olivier Barnich
and Christophe De Vleeschouwer
and Alexandre Alahi
and Bernard Ghanem
and Marc Van Droogenbroeck
and Abdulrahman Darwish
and Adrien Maglo
and Albert Clapes
and Andreas Luyts
and Andrei Boiarov
and Artur Xarles
and Astrid Orcesi
and Avijit Shah
and Baoyu Fan
and Bharath Comandur
and Chen Chen
and Chen Zhang
and Chen Zhao
and Chengzhi Lin
and Cheuk-Yiu Chan
and Chun Chuen Hui
and Dengjie Li
and Fan Yang
and Fan Liang
and Fang Da
and Feng Yan
and Fufu Yu
and Guanshuo Wang
and H. Anthony Chan
and He Zhu
and Hongwei Kan
and Jiaming Chu
and Jianming Hu
and Jianyang Gu
and Jin Chen
and Joao V. B. Soares
and Jonas Theiner
and Jorge De Corte
and Jose Henrique Brito
and Jun Zhang
and Junjie Li
and Junwei Liang
and Leqi Shen
and Lin Ma
and Lingchi Chen
and Miguel Santos Marques
and Mike Azatov
and Nikita Kasatkin
and Ning Wang
and Qiong Jia
and Quoc Cuong Pham
and Ralph Ewerth
and Ran Song
and Rengang Li
and Rikke Gade
and Ruben Debien
and Runze Zhang
and Sangrok Lee
and Sergio Escalera
and Shan Jiang
and Shigeyuki Odashima
and Shimin Chen
and Shoichi Masui
and Shouhong Ding
and Sin-wai Chan
and Siyu Chen
and Tallal El-Shabrawy
and Tao He
and Thomas B. Moeslund
and Wan-Chi Siu
and Wei Zhang
and Wei Li
and Xiangwei Wang
and Xiao Tan
and Xiaochuan Li
and Xiaolin Wei
and Xiaoqing Ye
and Xing Liu
and Xinying Wang
and Yandong Guo
and Yaqian Zhao
and Yi Yu
and Yingying Li
and Yue He
and Yujie Zhong
and Zhenhua Guo
and Zhiheng Li",
title="SoccerNet 2022 Challenges Results",
booktitle="5th International ACM Workshop on Multimedia Content Analysis in Sports",
year="2022",
pages="75--86",
abstract="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{\textquoteright}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 this https URL. Baselines and development kits are available on this https URL.",
optnote="HUPBA; no menciona",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3801), last updated on Mon, 24 Apr 2023 15:27:02 +0200",
doi="10.1145/3552437.3558545",
opturl="https://dl.acm.org/doi/10.1145/3552437.3558545"
}