all AI news
SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos. (arXiv:2204.06918v1 [cs.CV])
April 15, 2022, 1:10 a.m. | Anthony Cioppa, Silvio Giancola, Adrien Deliege, Le Kang, Xin Zhou, Zhiyu Cheng, Bernard Ghanem, Marc Van Droogenbroeck
cs.CV updates on arXiv.org arxiv.org
Tracking objects in soccer videos is extremely important to gather both
player and team statistics, whether it is to estimate the total distance run,
the ball possession or the team formation. Video processing can help automating
the extraction of those information, without the need of any invasive sensor,
hence applicable to any team on any stadium. Yet, the availability of datasets
to train learnable models and benchmarks to evaluate methods on a common
testbed is very limited. In this work, …
More from arxiv.org / cs.CV updates on arXiv.org
LLM-driven Multimodal Target Volume Contouring in Radiation Oncology
1 day, 20 hours ago |
arxiv.org
Post-processing of coronary and myocardial spatial data
1 day, 20 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Scientist (m/f/x/d)
@ Symanto Research GmbH & Co. KG | Spain, Germany
(Fluent Ukrainian) ML Engineer
@ Outstaff Your Team | Warsaw, Masovian Voivodeship, Poland - Remote
Senior Back-end Engineer (Cargo Models)
@ Kpler | London
Senior Data Science Manager, Marketplace Foundations
@ Reddit | Remote - United States
Intermediate Data Engineer
@ JUMO | South Africa
Data Engineer ( remote )
@ AssistRx | Orlando, Florida, United States - Remote