1st Place Solution to the 1st SkatingVerse Challenge
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Abstract (arXiv)
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%.
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References · 5
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
- 2023FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioningcited by 2,598
- 2021LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairscited by 1,555
- 2017The "something something" video database for learning and evaluating visual common sensecited by 1,103
- 2022ViTPose: Simple Vision Transformer Baselines for Human Pose Estimationcited by 456
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