3260 papers • 126 benchmarks • 313 datasets
Replay grounding is introduced in SoccerNet-v2 in the case of videos of soccer games. Given a replay shot of a soccer action, the objective is to retrieve when said action occurs within the whole live game.
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The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team, and tasks (3-6) were novel, including their underlying data and annotations.
This work proposes SoccerNet-v2, a novel large-scale corpus of manual annotations for the SoccerNet video dataset, along with open challenges to encourage more research in soccer understanding and broadcast production, and extends current tasks in the realm of soccer to include action spotting, camera shot segmentation with boundary detection, and a novel replay grounding task.
This tech report presents a two-stage paradigm to detect what and when events happen in soccer broadcast videos, fine-tune multiple action recognition models on soccer data to extract high-level semantic features, and design a transformer based temporal detection module to locate the target events.
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