Detail výsledku
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
Bartl Vojtěch, Ing., Ph.D., UPGM (FIT)
Špaňhel Jakub, Ing., Ph.D., UPGM (FIT)
Herout Adam, prof. Ing., Ph.D., UPGM (FIT)
YANG, M., et al.
a další
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).
Training, Computer vision, Conferences, Object detection, Detectors, Benchmark testing, Autonomous aerial vehicles
@inproceedings{BUT188419,
author="KIEFER, B. and BARTL, V. and ŠPAŇHEL, J. and HEROUT, A. and YANG, M., et al.",
title="1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results",
booktitle="2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)",
year="2023",
pages="265--302",
publisher="Institute of Electrical and Electronics Engineers",
address="Waikoloa, Hawaii",
doi="10.1109/WACVW58289.2023.00033",
isbn="979-8-3503-2056-5",
url="https://ieeexplore.ieee.org/document/10031200"
}