中文

首届海事计算机视觉研讨会(MaCVi)2023:挑战赛结果

计算机视觉与模式识别 2022-11-29 v2 人工智能 机器学习 机器人学

摘要

首届海事计算机视觉研讨会(MaCVi)2023聚焦于面向无人机(UAV)与无人水面艇(USV)的海事计算机视觉,并在该领域组织了若干子挑战赛:(i)基于UAV的海事目标检测,(ii)基于UAV的海事目标跟踪,(iii)基于USV的海事障碍物分割,以及(iv)基于USV的海事障碍物检测。子挑战赛基于SeaDronesSee与MODS基准。本报告总结了各子挑战赛的主要发现,并引入了一个称为SeaDronesSee Object Detection v2的新基准,其通过包含更多类别与片段扩展了先前的基准。我们提供了统计与定性分析,并评估了超过130份提交中性能最优方法的趋势。方法总结于附录。数据集、评估代码与排行榜公开于 https://seadronessee.cs.uni-tuebingen.de/macvi。

关键词

引用

@article{arxiv.2211.13508,
  title  = {1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results},
  author = {Benjamin Kiefer and Matej Kristan and Janez Perš and Lojze Žust and Fabio Poiesi and Fabio Augusto de Alcantara Andrade and Alexandre Bernardino and Matthew Dawkins and Jenni Raitoharju and Yitong Quan and Adem Atmaca and Timon Höfer and Qiming Zhang and Yufei Xu and Jing Zhang and Dacheng Tao and Lars Sommer and Raphael Spraul and Hangyue Zhao and Hongpu Zhang and Yanyun Zhao and Jan Lukas Augustin and Eui-ik Jeon and Impyeong Lee and Luca Zedda and Andrea Loddo and Cecilia Di Ruberto and Sagar Verma and Siddharth Gupta and Shishir Muralidhara and Niharika Hegde and Daitao Xing and Nikolaos Evangeliou and Anthony Tzes and Vojtěch Bartl and Jakub Špaňhel and Adam Herout and Neelanjan Bhowmik and Toby P. Breckon and Shivanand Kundargi and Tejas Anvekar and Chaitra Desai and Ramesh Ashok Tabib and Uma Mudengudi and Arpita Vats and Yang Song and Delong Liu and Yonglin Li and Shuman Li and Chenhao Tan and Long Lan and Vladimir Somers and Christophe De Vleeschouwer and Alexandre Alahi and Hsiang-Wei Huang and Cheng-Yen Yang and Jenq-Neng Hwang and Pyong-Kun Kim and Kwangju Kim and Kyoungoh Lee and Shuai Jiang and Haiwen Li and Zheng Ziqiang and Tuan-Anh Vu and Hai Nguyen-Truong and Sai-Kit Yeung and Zhuang Jia and Sophia Yang and Chih-Chung Hsu and Xiu-Yu Hou and Yu-An Jhang and Simon Yang and Mau-Tsuen Yang},
  journal= {arXiv preprint arXiv:2211.13508},
  year   = {2022}
}

备注

MaCVi 2023 was part of WACV 2023. This report (38 pages) discusses the competition as part of MaCVi