Publication Details
1stWorkshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
Bartl Vojtěch, Ing. (DCGM FIT BUT)
Špaňhel Jakub, Ing. (DCGM FIT BUT)
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT)
and others
Training, Computer vision, Conferences, Object detection, Detectors, Benchmark testing, Autonomous aerial vehicles
The 1 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 Mar-itime 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 (https://seadronessee.cs.uni-tuebingen.de/macvi).
@INPROCEEDINGS{FITPUB13195,
author = "Benjamin Kiefer and Vojt\v{e}ch Bartl and Jakub \v{S}pa\v{n}hel and Adam Herout and Mau-tsuen Yang and et al.",
title = "1stWorkshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results",
pages = "265--302",
booktitle = "2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)",
year = 2023,
location = "Waikoloa, Hawaii, US",
publisher = "Institute of Electrical and Electronics Engineers",
ISBN = "979-8-3503-2056-5",
doi = "10.1109/WACVW58289.2023.00033",
language = "english",
url = "https://www.fit.vut.cz/research/publication/13195"
}