论文标题
海上计算机视觉（MACVI）的第一届研讨会2023：挑战结果
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
论文作者
论文摘要
1 $^{\ text {st}} $关于海上计算机视觉（MACVI）2023的研讨会，重点关注无人机的海上计算机愿景（UAV）和无人驾驶的地面车辆（USV），并在该域中组织了几个域名，并在该域中组织了几个suballenges：（i）基于无人机的对象（I II）基于Maritime usime usime usime Marit（Marit Marit Marit Maritime Maritime Maritime Maritime Marit）细分和（iv）基于USV的海上障碍物检测。亚挑战者基于Seadronessee和Mods基准。该报告总结了单个子挑战的主要发现，并引入了一个新的基准，称为Seadronessee对象检测V2，该基准通过包括更多类和录像来扩展以前的基准。我们提供统计和定性分析，并评估超过130份提交的表现最佳方法的趋势。该方法在附录中总结。数据集，评估代码和排行榜可在https://seadronessee.cs.uni-tuebingen.de/macvi上公开获得。
The 1$^{\text{st}}$ Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and organized several subchallenges in this domain: (i) UAV-based Maritime Object Detection, (ii) UAV-based Maritime Object Tracking, (iii) USV-based Maritime Obstacle Segmentation and (iv) USV-based Maritime Obstacle Detection. The subchallenges were based on the SeaDronesSee and MODS benchmarks. This report summarizes the main findings of the individual subchallenges and introduces a new benchmark, called SeaDronesSee Object Detection v2, which extends the previous benchmark by including more classes and footage. We provide statistical and qualitative analyses, and assess trends in the best-performing methodologies of over 130 submissions. The methods are summarized in the appendix. The datasets, evaluation code and the leaderboard are publicly available at https://seadronessee.cs.uni-tuebingen.de/macvi.
