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The Visual Object Tracking Segmentation VOTS2024 challenge is the twelfth annual tracker benchmarking activity of the VOT initiative. This challenge consolidates the new tracking setup proposed in VOTS2023, which merges short-term and long-term as well as single-target and multiple-target tracking with segmentation masks as the only target location specification. Two sub-challenges are considered. The VOTS2024 standard challenge, focusing on classical objects and the VOTSt2024, which considers objects undergoing a topological transformation. Both challenges use the same performance evaluation methodology. Results of 28 submissions are presented and analyzed. A leaderboard, with participating trackers details, the source code, the datasets, and the evaluation kit are publicly available on the website ( https://www.votchallenge.net/vots2024/ ).

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The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results

  • 会议论文

  • 发表日期：

    2025年

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  • Matej Kristan,
  • Jiří Matas,
  • Pavel Tokmakov,
  • Michael Felsberg,
  • Luka Čehovin Zajc,
  • Alan Lukežič,
  • Khanh-Tung Tran,
  • Xuan-Son Vu,
  • Johanna Björklund,
  • Hyung Jin Chang,
  • Gustavo Fernández,
  • Minasadat Attari,
  • Antoni Chan,
  • Liang Chen,
  • Xin Chen,
  • Jaired Collins,
  • Yutao Cui,
  • Ganesh Sai Manas Devarapu,
  • Yinglong Du,
  • Heng Fan,
  • Wan-Cyuan Fan,
  • Zhenhua Feng,
  • Mingqi Gao,
  • Rama Krishna Sai Gorthi,
  • Raghav Goyal,
  • Jungong Han,
  • Bijaya Hatuwal,
  • Zhenyu He,
  • Xiantao Hu,
  • Xingsen Huang,
  • Yuqing Huang,
  • Dongmei Jiang,
  • Ben Kang,
  • Palaniappan Kannappan,
  • Josef Kittler,
  • Simiao Lai,
  • Ning Li,
  • Xiaohai Li,
  • Xin Li,
  • Cheng Liang,
  • Liting Lin,
  • Haibin Ling,
  • Ting Liu,
  • Ziquan Liu,
  • Huchuan Lu,
  • Yifei Luo,
  • Deshui Miao,
  • Juan Mogollon,
  • Ziqi Pang,
  • Jaswanth Reddy Pochimireddy,
  • Viktor Prutyanov,
  • Gani Rahmon,
  • Aleksandr Romanov,
  • Liangtao Shi,
  • Mennatullah Siam,
  • Leonid Sigal,
  • Arun Kumar Sivapuram,
  • Roman Solovyev,
  • Elham Soltani Kazemi,
  • Imad Eddine Toubal,
  • Jia Wan,
  • Limin Wang,
  • Xinying Wang,
  • Yaowei Wang,
  • Yu-Xiong Wang,
  • Zhiquan Wang,
  • Gangshan Wu,
  • Qiangqiang Wu,
  • Xiaojun Wu,
  • Zihao Xia,
  • Jinxia Xie,
  • Chenlong Xu,
  • Tianyang Xu,
  • Yong Xu,
  • Chaocan Xue,
  • Chao Yang,
  • Jinyu Yang,
  • Ming-Hsuan Yang,
  • Chenyang Yu,
  • Ke Yu,
  • Chunhui Zhang,
  • Jiaming Zhang,
  • Zhipeng Zhang,
  • Feng Zheng,
  • Yaozong Zheng,
  • Bineng Zhong,
  • Jinglin Zhou,
  • Junbao Zhou,
  • Yong Zhou,
  • Zikun Zhou,
  • Guibo Zhu,
  • Jiawen Zhu,
  • Xuefeng Zhu,
  • Vladimir Zunin

摘要

The Visual Object Tracking Segmentation VOTS2024 challenge is the twelfth annual tracker benchmarking activity of the VOT initiative. This challenge consolidates the new tracking setup proposed in VOTS2023, which merges short-term and long-term as well as single-target and multiple-target tracking with segmentation masks as the only target location specification. Two sub-challenges are considered. The VOTS2024 standard challenge, focusing on classical objects and the VOTSt2024, which considers objects undergoing a topological transformation. Both challenges use the same performance evaluation methodology. Results of 28 submissions are presented and analyzed. A leaderboard, with participating trackers details, the source code, the datasets, and the evaluation kit are publicly available on the website ( https://www.votchallenge.net/vots2024/ ).