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/.
@article{arxiv.2405.17188,
title = {The SkatingVerse Workshop & Challenge: Methods and Results},
author = {Jian Zhao and Lei Jin and Jianshu Li and Zheng Zhu and Yinglei Teng and Jiaojiao Zhao and Sadaf Gulshad and Zheng Wang and Bo Zhao and Xiangbo Shu and Yunchao Wei and Xuecheng Nie and Xiaojie Jin and Xiaodan Liang and Shin'ichi Satoh and Yandong Guo and Cewu Lu and Junliang Xing and Jane Shen Shengmei},
journal= {arXiv preprint arXiv:2405.17188},
year = {2024}
}