SoccerNet 2024: Return of the Challenges! скачать в хорошем качестве

SoccerNet 2024: Return of the Challenges!

Join the SoccerNet community and take part in the 2024 challenges in soccer video analysis. Be part of the research community pushing the boundaries of broadcast, field, and player understanding. With new tasks and challenges, including fine-grained ball action spotting, dense video captioning, multi-view foul recognition, and game state reconstruction, there's a challenge for everyone. With prizes for each challenge and a chance to be recognized at CVPR, start your journey now and help shape the future of soccer video analysis. Join our Discord community, follow us on social media, and be sure to leave a like and subscribe to our channel for updates. Let's get started! 00:00​​ Introduction 02:53 Multi-view Foul Recognition challenge 05:02 Dense Video Captioning challenge 06:42 Ball Action Spotting challenge 09:11 Game State Reconstruction challenge 11:51 Conclusion Make sure to join our SoccerNet community on Discord:   / discord   Link to our website: https://www.soccer-net.org Multi-view Foul Recognition Challenge Link to the repository: https://github.com/SoccerNet/sn-mvfoul Link to the VARS paper: https://openaccess.thecvf.com/content... Sponsor: Thya Technology (https://www.thya-technology.com/) Prize: 1000$ Venue: CVsports workshop at CVPR Ball Action Spotting Challenge Link to the repository: https://github.com/SoccerNet/sn-spotting Sponsor: NASK Science (https://www.nask.pl/) Prizes: 1000$ Venue: CVsports workshop at CVPR Dense Video Captioning Challenge Link to the repository: https://github.com/SoccerNet/sn-caption Sponsor: Quality (https://quality.media/en/home/) Prizes: 1000$ Venue: CVsports workshop at CVPR Tracking Challenge Link to the repository: https://github.com/SoccerNet/sn-games... Sponsor: Sportradar (https://sportradar.com/) Prize: 1000$ Venue: CVSports workshop at CVPR Big thanks to Footovision (https://www.footovision.com/) for providing the new Ball Action Spotting data and annotations and to Baidu Research for their original contribution to the SoccerNet Tracking dataset at the core of the new Game State task! Pip package to get started with the dataset and the challenge: https://pypi.org/project/SoccerNet/​​​ Previous tutorials to get you started • Tutorial #1    • Tutorial #1 Introduction to the 2022 Socce...   • Tutorial #2    • Tutorial #2 Action Spotting & Replay Groun...   • Tutorial #3    • Tutorial #3 Camera Calibration - 2022 Socc...   • Tutorial #4    • Tutorial #4 Player Re-Identification - 202...   • Tutorial #5    • Tutorial #5 Player Tracking - 2022 SoccerN...   • Tutorial #6    • SoccerNet 2023 Live Tutorials - ft. Vladim...   Don’t hesitate to contact us if you have any questions about the papers, the challenges or the code! To see more of our work, subscribe to our YouTube channel and other social media! We’ll keep posting our work regularly. Subscribe to Acad Research:    / acadresearch   Twitter:   / soccernet_org     / anthony_cioppa     / adriendeliege     / giancolasilvio     / baiduresearch     / _cvsports   Other social media:   / vladimirsomers   Video Credits ------- Background videos from Videezy.com and Pexels Music credits ------- Juno in The Space Maze - Loopop Stranger - VYEN Moons - Patrick Patrikios Copycat - R.LUM.R Missive - Andrew Langdon Demon - JVNA Classic - Joakim Karud ------- Many thanks to the University of Liège, KAUST, UCLouvain, EPFL, Aalborg University, Footovision, TRAIL, FNRS, Sportradar, Baidu Research, NASK Science, and EVS Broadcast Equipment. Written and Presented by Anthony Cioppa - ULiège & KAUST Jan Held - ULiège Silvio Giancola - KAUST Karolina Seweryn - NASK Science Vladimir Somers - UCLouvain, EPFL, and Sportradar Victor Joos de ter Beerst - UCLouvain Seyed Abolfazl Ghasemzadeh - UCLouvain Produced and Edited by Anthony Cioppa.