Detail publikace

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

KIEFER, B. BARTL, V. ŠPAŇHEL, J. HEROUT, A. et al.

Originální název

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The 1st 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 (https:// seadronessee.cs.uni-tuebingen.de/macvi).

Klíčová slova

Maritime Vision, Computer Vision, Artificial Intelligence

Autoři

KIEFER, B.; BARTL, V.; ŠPAŇHEL, J.; HEROUT, A.; et al.

Vydáno

3. 1. 2023

Nakladatel

IEEE COMPUTER SOC

Místo

LOS ALAMITOS

ISBN

979-8-3503-2056-5

Kniha

IEEE Winter Applications and Computer Vision Workshops (WACVW)

ISSN

2690-621X

Periodikum

Winter Applications and Computer Vision Workshops

Stát

Spojené státy americké

Strany od

265

Strany do

302

Strany počet

38

BibTex

@inproceedings{BUT187610,
  author="KIEFER, B. and BARTL, V. and ŠPAŇHEL, J. and HEROUT, A. and et al.",
  title="1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results",
  booktitle="IEEE Winter Applications and Computer Vision Workshops (WACVW)",
  year="2023",
  journal="Winter Applications and Computer Vision Workshops",
  pages="265--302",
  publisher="IEEE COMPUTER SOC",
  address="LOS ALAMITOS",
  doi="10.1109/WACVW58289.2023.00033",
  isbn="979-8-3503-2056-5",
  issn="2690-621X"
}