Kavli Affiliate: Zheng Zhu
| First 5 Authors: Jian Zhao, Lei Jin, Jianshu Li, Zheng Zhu, Yinglei Teng
| Summary:
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: https://skatingverse.github.io/.
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