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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F23%3APU150572" target="_blank" >RIV/00216305:26230/23:PU150572 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/WACVW58289.2023.00033" target="_blank" >http://dx.doi.org/10.1109/WACVW58289.2023.00033</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/WACVW58289.2023.00033" target="_blank" >10.1109/WACVW58289.2023.00033</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    IEEE Winter Applications and Computer Vision Workshops (WACVW)

  • ISBN

    979-8-3503-2056-5

  • ISSN

    2690-621X

  • e-ISSN

  • Number of pages

    38

  • Pages from-to

    265-302

  • Publisher name

    IEEE COMPUTER SOC

  • Place of publication

    LOS ALAMITOS

  • Event location

    Waikoloa

  • Event date

    Jan 3, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000971997900029