In this work, we propose SoccerNet-v2, a novel large-scale corpus of manual annotations for the SoccerNet [24] video dataset, along with open challenges to ...
Nov 26, 2020 · We propose SoccerNet-v2, a novel large-scale corpus of manual annotations for the SoccerNet video dataset, along with open challenges to encourage more ...
SoccerNet-v2 is a large-scale dataset build upon SoccerNet that benchmarks the tasks action spotting, camera shot understanding and replay grounding.
A novel large-scale corpus of manual annotations for the SoccerNet video dataset, along with open challenges to encourage more research in soccer understanding.
In this work, we propose SoccerNet-v2, a novel large-scale corpus of manual annotations for the SoccerNet [24] video dataset, along with open challenges to ...
This work proposes SoccerNet-v2, a novel large-scale corpus of manual annotations for the SoccerNet video dataset, along with open challenges.
The dataset consists of 500 complete soccer games including: Full untrimmed broadcast videos in both low and high resolution. Pre-computed features such as ...
SoccerNet-v2: A Dataset and Benchmarks for Holistic ...
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In this work, we propose SoccerNet-v2, a novel large-scale corpus of manual annotations for the SoccerNet [24] video dataset, along with open challenges to ...
In this work, we propose SoccerNet-v2, a novel large-scale corpus of manual annotations for the SoccerNet [24] video dataset, along with open challenges to ...
(Vanderplaetse et al.) 39.9. SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos.