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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F23%3APU151184" target="_blank" >RIV/00216305:26230/23:PU151184 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26230/23:PU150572

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10031200" target="_blank" >https://ieeexplore.ieee.org/document/10031200</a>

DOI - Digital Object Identifier

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

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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).

Název v anglickém jazyce

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

Popis výsledku anglicky

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).

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)

ISBN

979-8-3503-2056-5

ISSN

—

e-ISSN

—

Počet stran výsledku

38

Strana od-do

265-302

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

Waikoloa, Hawaii

Místo konání akce

Waikoloa, Hawaii

Datum konání akce

3. 1. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000971997900029