[2405.17188] The SkatingVerse Workshop & Challenge: Methods and Results
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arXiv:2405.17188 (cs)
[Submitted on 27 May 2024]

Title:The SkatingVerse Workshop & Challenge: Methods and Results

Authors:Jian Zhao, Lei Jin, Jianshu Li, Zheng Zhu, Yinglei Teng, Jiaojiao Zhao, Sadaf Gulshad, Zheng Wang, Bo Zhao, Xiangbo Shu, Yunchao Wei, Xuecheng Nie, Xiaojie Jin, Xiaodan Liang, Shin'ichi Satoh, Yandong Guo, Cewu Lu, Junliang Xing, Jane Shen Shengmei
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Abstract:The SkatingVerse Workshop & Challenge aims to encourage research in developing novel and accurate methods for human action understanding. The SkatingVerse dataset used for the SkatingVerse Challenge has been publicly released. There are two subsets in the dataset, i.e., the training subset and testing subset. The training subsets consists of 19,993 RGB video sequences, and the testing subsets consists of 8,586 RGB video sequences. Around 10 participating teams from the globe competed in the SkatingVerse Challenge. In this paper, we provide a brief summary of the SkatingVerse Workshop & Challenge including brief introductions to the top three methods. The submission leaderboard will be reopened for researchers that are interested in the human action understanding challenge. The benchmark dataset and other information can be found at: this https URL.
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2405.17188 [cs.CV]
  (or arXiv:2405.17188v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2405.17188

Submission history

From: Lei Jin [view email]
[v1] Mon, 27 May 2024 14:12:07 UTC (10,284 KB)
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