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Autori principali:	Giancola, Silvio, Cioppa, Anthony, Gutiérrez-Pérez, Marc, Held, Jan, Hinojosa, Carlos, Joos, Victor, Leduc, Arnaud, Magera, Floriane, Sanchez, Karen, Somers, Vladimir, Xarles, Artur, Agudo, Antonio, Alahi, Alexandre, Barnich, Olivier, Clapés, Albert, De Vleeschouwer, Christophe, Escalera, Sergio, Ghanem, Bernard, Moeslund, Thomas B., Van Droogenbroeck, Marc, Abe, Tomoki, Alotaibi, Saad, Altawijri, Faisal, Araujo, Steven, Bai, Xiang, Bi, Xiaoyang, Cao, Jiawang, Chao, Vanyi, Czarnogórski, Kamil, Deuser, Fabian, Du, Mingyang, Feng, Tianrui, Frenzel, Patrick, Fuchs, Mirco, García, Jorge, Habel, Konrad, Hashiguchi, Takaya, Hirose, Sadao, Hu, Xinting, Hwang, Yewon, Inoue, Ririko, Itsuji, Riku, Iwai, Kazuto, Ji, Hongwei, Ji, Yangguang, Jiao, Licheng, Kageyama, Yuto, Kamikawa, Yuta, Kanasugi, Yuuki, Kim, Hyungjung, Kim, Jinwook, Kurihara, Takuya, Li, Bozheng, Li, Lingling, Li, Xian, Lian, Youxing, Liang, Dingkang, Lin, Hongkai, Lin, Jiadong, Liu, Jian, Liu, Liang, Liu, Shuaikun, Liu, Zhaohong, Lu, Yi, Méndez, Federico, Ma, Huadong, Ma, Wenping, Maksymiuk, Jacek, Mantilla, Henry, Mathkour, Ismail, Matthes, Daniel, Motomochi, Ayaha, Muhammad, Amrulloh Robbani, Nakayama, Haruto, Oh, Joohyung, Oo, Yin May, Ortega, Marcelo, Oswald, Norbert, Otsubo, Rintaro, Perez, Fabian, Qi, Mengshi, Rey, Cristian, Reyes-Angulo, Abel, Rose, Oliver, Rueda-Chacón, Hoover, Saito, Hideo, Sarmiento, Jose, Sawafuji, Kanta, Scott, Atom, Shen, Xi, Shrestha, Pragyan, Sim, Jae-Young, Sun, Long, Sun, Yuyang, Suzuki, Tomohiro, Tang, Licheng, Tonouchi, Masato, Uchida, Ikuma, Velesaca, Henry O., Wang, Tiancheng, Watanabe, Rio, Wu, Jay, Wu, Yongliang, Yamagishi, Shunzo, Yang, Di, Yang, Xu, Yang, Yuxin, Ye, Hao, Ye, Xinyu, Yeung, Calvin, Yu, Xuanlong, Zhang, Chao, Zhang, Dingyuan, Zhang, Kexing, Zhao, Zhe, Zhou, Xin, Zhu, Wenbo, Ziegler, Julian
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	https://arxiv.org/abs/2508.19182
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_version_	1866916919276208128
author	Giancola, Silvio Cioppa, Anthony Gutiérrez-Pérez, Marc Held, Jan Hinojosa, Carlos Joos, Victor Leduc, Arnaud Magera, Floriane Sanchez, Karen Somers, Vladimir Xarles, Artur Agudo, Antonio Alahi, Alexandre Barnich, Olivier Clapés, Albert De Vleeschouwer, Christophe Escalera, Sergio Ghanem, Bernard Moeslund, Thomas B. Van Droogenbroeck, Marc Abe, Tomoki Alotaibi, Saad Altawijri, Faisal Araujo, Steven Bai, Xiang Bi, Xiaoyang Cao, Jiawang Chao, Vanyi Czarnogórski, Kamil Deuser, Fabian Du, Mingyang Feng, Tianrui Frenzel, Patrick Fuchs, Mirco García, Jorge Habel, Konrad Hashiguchi, Takaya Hirose, Sadao Hu, Xinting Hwang, Yewon Inoue, Ririko Itsuji, Riku Iwai, Kazuto Ji, Hongwei Ji, Yangguang Jiao, Licheng Kageyama, Yuto Kamikawa, Yuta Kanasugi, Yuuki Kim, Hyungjung Kim, Jinwook Kurihara, Takuya Li, Bozheng Li, Lingling Li, Xian Lian, Youxing Liang, Dingkang Lin, Hongkai Lin, Jiadong Liu, Jian Liu, Liang Liu, Shuaikun Liu, Zhaohong Lu, Yi Méndez, Federico Ma, Huadong Ma, Wenping Maksymiuk, Jacek Mantilla, Henry Mathkour, Ismail Matthes, Daniel Motomochi, Ayaha Muhammad, Amrulloh Robbani Nakayama, Haruto Oh, Joohyung Oo, Yin May Ortega, Marcelo Oswald, Norbert Otsubo, Rintaro Perez, Fabian Qi, Mengshi Rey, Cristian Reyes-Angulo, Abel Rose, Oliver Rueda-Chacón, Hoover Saito, Hideo Sarmiento, Jose Sawafuji, Kanta Scott, Atom Shen, Xi Shrestha, Pragyan Sim, Jae-Young Sun, Long Sun, Yuyang Suzuki, Tomohiro Tang, Licheng Tonouchi, Masato Uchida, Ikuma Velesaca, Henry O. Wang, Tiancheng Watanabe, Rio Wu, Jay Wu, Yongliang Yamagishi, Shunzo Yang, Di Yang, Xu Yang, Yuxin Ye, Hao Ye, Xinyu Yeung, Calvin Yu, Xuanlong Zhang, Chao Zhang, Dingyuan Zhang, Kexing Zhao, Zhe Zhou, Xin Zhu, Wenbo Ziegler, Julian
author_facet	Giancola, Silvio Cioppa, Anthony Gutiérrez-Pérez, Marc Held, Jan Hinojosa, Carlos Joos, Victor Leduc, Arnaud Magera, Floriane Sanchez, Karen Somers, Vladimir Xarles, Artur Agudo, Antonio Alahi, Alexandre Barnich, Olivier Clapés, Albert De Vleeschouwer, Christophe Escalera, Sergio Ghanem, Bernard Moeslund, Thomas B. Van Droogenbroeck, Marc Abe, Tomoki Alotaibi, Saad Altawijri, Faisal Araujo, Steven Bai, Xiang Bi, Xiaoyang Cao, Jiawang Chao, Vanyi Czarnogórski, Kamil Deuser, Fabian Du, Mingyang Feng, Tianrui Frenzel, Patrick Fuchs, Mirco García, Jorge Habel, Konrad Hashiguchi, Takaya Hirose, Sadao Hu, Xinting Hwang, Yewon Inoue, Ririko Itsuji, Riku Iwai, Kazuto Ji, Hongwei Ji, Yangguang Jiao, Licheng Kageyama, Yuto Kamikawa, Yuta Kanasugi, Yuuki Kim, Hyungjung Kim, Jinwook Kurihara, Takuya Li, Bozheng Li, Lingling Li, Xian Lian, Youxing Liang, Dingkang Lin, Hongkai Lin, Jiadong Liu, Jian Liu, Liang Liu, Shuaikun Liu, Zhaohong Lu, Yi Méndez, Federico Ma, Huadong Ma, Wenping Maksymiuk, Jacek Mantilla, Henry Mathkour, Ismail Matthes, Daniel Motomochi, Ayaha Muhammad, Amrulloh Robbani Nakayama, Haruto Oh, Joohyung Oo, Yin May Ortega, Marcelo Oswald, Norbert Otsubo, Rintaro Perez, Fabian Qi, Mengshi Rey, Cristian Reyes-Angulo, Abel Rose, Oliver Rueda-Chacón, Hoover Saito, Hideo Sarmiento, Jose Sawafuji, Kanta Scott, Atom Shen, Xi Shrestha, Pragyan Sim, Jae-Young Sun, Long Sun, Yuyang Suzuki, Tomohiro Tang, Licheng Tonouchi, Masato Uchida, Ikuma Velesaca, Henry O. Wang, Tiancheng Watanabe, Rio Wu, Jay Wu, Yongliang Yamagishi, Shunzo Yang, Di Yang, Xu Yang, Yuxin Ye, Hao Ye, Xinyu Yeung, Calvin Yu, Xuanlong Zhang, Chao Zhang, Dingyuan Zhang, Kexing Zhao, Zhe Zhou, Xin Zhu, Wenbo Ziegler, Julian
contents	The SoccerNet 2025 Challenges mark the fifth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in football video understanding. This year's challenges span four vision-based tasks: (1) Team Ball Action Spotting, focused on detecting ball-related actions in football broadcasts and assigning actions to teams; (2) Monocular Depth Estimation, targeting the recovery of scene geometry from single-camera broadcast clips through relative depth estimation for each pixel; (3) Multi-View Foul Recognition, requiring the analysis of multiple synchronized camera views to classify fouls and their severity; and (4) Game State Reconstruction, aimed at localizing and identifying all players from a broadcast video to reconstruct the game state on a 2D top-view of the field. Across all tasks, participants were provided with large-scale annotated datasets, unified evaluation protocols, and strong baselines as starting points. This report presents the results of each challenge, highlights the top-performing solutions, and provides insights into the progress made by the community. The SoccerNet Challenges continue to serve as a driving force for reproducible, open research at the intersection of computer vision, artificial intelligence, and sports. Detailed information about the tasks, challenges, and leaderboards can be found at https://www.soccer-net.org, with baselines and development kits available at https://github.com/SoccerNet.
format	Preprint
id	arxiv_https___arxiv_org_abs_2508_19182
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	SoccerNet 2025 Challenges Results Giancola, Silvio Cioppa, Anthony Gutiérrez-Pérez, Marc Held, Jan Hinojosa, Carlos Joos, Victor Leduc, Arnaud Magera, Floriane Sanchez, Karen Somers, Vladimir Xarles, Artur Agudo, Antonio Alahi, Alexandre Barnich, Olivier Clapés, Albert De Vleeschouwer, Christophe Escalera, Sergio Ghanem, Bernard Moeslund, Thomas B. Van Droogenbroeck, Marc Abe, Tomoki Alotaibi, Saad Altawijri, Faisal Araujo, Steven Bai, Xiang Bi, Xiaoyang Cao, Jiawang Chao, Vanyi Czarnogórski, Kamil Deuser, Fabian Du, Mingyang Feng, Tianrui Frenzel, Patrick Fuchs, Mirco García, Jorge Habel, Konrad Hashiguchi, Takaya Hirose, Sadao Hu, Xinting Hwang, Yewon Inoue, Ririko Itsuji, Riku Iwai, Kazuto Ji, Hongwei Ji, Yangguang Jiao, Licheng Kageyama, Yuto Kamikawa, Yuta Kanasugi, Yuuki Kim, Hyungjung Kim, Jinwook Kurihara, Takuya Li, Bozheng Li, Lingling Li, Xian Lian, Youxing Liang, Dingkang Lin, Hongkai Lin, Jiadong Liu, Jian Liu, Liang Liu, Shuaikun Liu, Zhaohong Lu, Yi Méndez, Federico Ma, Huadong Ma, Wenping Maksymiuk, Jacek Mantilla, Henry Mathkour, Ismail Matthes, Daniel Motomochi, Ayaha Muhammad, Amrulloh Robbani Nakayama, Haruto Oh, Joohyung Oo, Yin May Ortega, Marcelo Oswald, Norbert Otsubo, Rintaro Perez, Fabian Qi, Mengshi Rey, Cristian Reyes-Angulo, Abel Rose, Oliver Rueda-Chacón, Hoover Saito, Hideo Sarmiento, Jose Sawafuji, Kanta Scott, Atom Shen, Xi Shrestha, Pragyan Sim, Jae-Young Sun, Long Sun, Yuyang Suzuki, Tomohiro Tang, Licheng Tonouchi, Masato Uchida, Ikuma Velesaca, Henry O. Wang, Tiancheng Watanabe, Rio Wu, Jay Wu, Yongliang Yamagishi, Shunzo Yang, Di Yang, Xu Yang, Yuxin Ye, Hao Ye, Xinyu Yeung, Calvin Yu, Xuanlong Zhang, Chao Zhang, Dingyuan Zhang, Kexing Zhao, Zhe Zhou, Xin Zhu, Wenbo Ziegler, Julian Computer Vision and Pattern Recognition The SoccerNet 2025 Challenges mark the fifth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in football video understanding. This year's challenges span four vision-based tasks: (1) Team Ball Action Spotting, focused on detecting ball-related actions in football broadcasts and assigning actions to teams; (2) Monocular Depth Estimation, targeting the recovery of scene geometry from single-camera broadcast clips through relative depth estimation for each pixel; (3) Multi-View Foul Recognition, requiring the analysis of multiple synchronized camera views to classify fouls and their severity; and (4) Game State Reconstruction, aimed at localizing and identifying all players from a broadcast video to reconstruct the game state on a 2D top-view of the field. Across all tasks, participants were provided with large-scale annotated datasets, unified evaluation protocols, and strong baselines as starting points. This report presents the results of each challenge, highlights the top-performing solutions, and provides insights into the progress made by the community. The SoccerNet Challenges continue to serve as a driving force for reproducible, open research at the intersection of computer vision, artificial intelligence, and sports. Detailed information about the tasks, challenges, and leaderboards can be found at https://www.soccer-net.org, with baselines and development kits available at https://github.com/SoccerNet.
title	SoccerNet 2025 Challenges Results
topic	Computer Vision and Pattern Recognition
url	https://arxiv.org/abs/2508.19182

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