SoccerNet-v2 is a large-scale dataset build upon SoccerNet that benchmarks the tasks action spotting, camera shot understanding and replay grounding. SoccerNet-v2 is composed of 300k manual annotations, ...
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Source: [SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos](/paper/soccernet-a-scalable-datas.
[2021-06] SoccerNet-v2 received the Best Paper Award during CVSports @CVPR'21.
In this paper, we introduce SoccerNet, a benchmark for action spotting in soccer videos.
11 2017 Soccernet-v2: A dataset and benchmarks for holistic understanding of broadcast soccer videos. A Deliege*, A Cioppa*, S Giancola*, MJ Seikavandi*, JV Dueholm*, ...
Organized a 2-days hybrid conference on AI gathering 100 in-person and 1000 remote attendees.
Boundary Detection** is a vital part of extracting information encoded in images, allowing for the computation of quantities of interest including density, velocity, pressure, etc. Source: ... SoccerNet-v2.
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