مؤتمر
SoccerNet: Exploring the Game with Computer Vision
| العنوان: | SoccerNet: Exploring the Game with Computer Vision |
|---|---|
| المؤلفون: | Cioppa, Anthony, Giancola, Silvio, Deliège, Adrien, Somers, Vladimir, Magera, Floriane, Mkhallati, Hassan, Kang, Le, Zhou, Xin, Cheng, Zhiyu, Ghanem, Bernard, Van Droogenbroeck, Marc |
| المساهمون: | Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège, BE, TELIM |
| المصدر: | Rising Stars in AI Symposium 2023, Thuwal, Saudi Arabia [SA], 21 Février 2023 |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | Soccer, Deep learning, Computer vision, artificial intelligence, challenges, Sports, Sport, Football, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques |
| الوصف: | SoccerNet is a large-scale video dataset for video undestanding in soccer. The dataset has been used in various research challenges, where participants competed to develop the best algorithms for tasks such as predicting events, tracking players or recognising their jersey number. The challenges have spurred advancements in the state-of-the-art in sports video analysis. |
| نوع الوثيقة: | conference poster not in proceedings http://purl.org/coar/resource_type/c_18coTest conferencePoster |
| اللغة: | English |
| العلاقة: | https://www.soccer-net.orgTest/ |
| الوصول الحر: | https://orbi.uliege.be/handle/2268/301185Test |
| حقوق: | open access http://purl.org/coar/access_right/c_abf2Test info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsorb.301185 |
| قاعدة البيانات: | ORBi |
| الوصف غير متاح. |