Technical Report for SoccerNet Challenge 2022 -- Replay Grounding Task
Shimin Chen, Wei Li, Jiaming Chu, Chen Chen, Chen Zhang, Yandong Guo
TL;DR
This paper presents a method for replay grounding in soccer videos by transforming it into a temporal action detection problem and applying a unified Faster-TAD network, with data-driven output refinement.
Contribution
It introduces a novel application of the Faster-TAD network for replay grounding in sports videos and refines results based on data distribution analysis.
Findings
Effective replay grounding achieved in soccer videos
Unified network approach simplifies the task
Refinement improves final detection accuracy
Abstract
In order to make full use of video information, we transform the replay grounding problem into a video action location problem. We apply a unified network Faster-TAD proposed by us for temporal action detection to get the results of replay grounding. Finally, by observing the data distribution of the training data, we refine the output of the model to get the final submission.
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Taxonomy
TopicsAnomaly Detection Techniques and Applications · Network Security and Intrusion Detection · Software System Performance and Reliability