1st Place Solution to the 1st SkatingVerse Challenge
This is an incremental improvement for researchers and practitioners in sports analytics, focusing on a specific domain challenge.
The paper tackled the problem of action recognition in skating videos by proposing an ensemble method that achieved a leaderboard score of 95.73% in the 1st SkatingVerse Challenge.
This paper presents the winning solution for the 1st SkatingVerse Challenge. We propose a method that involves several steps. To begin, we leverage the DINO framework to extract the Region of Interest (ROI) and perform precise cropping of the raw video footage. Subsequently, we employ three distinct models, namely Unmasked Teacher, UniformerV2, and InfoGCN, to capture different aspects of the data. By ensembling the prediction results based on logits, our solution attains an impressive leaderboard score of 95.73%.