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%3APU150572" target="_blank" >RIV/00216305:26230/23:PU150572 - isvavai.cz</a>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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).

Název v anglickém jazyce

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

Popis výsledku anglicky

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).

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

IEEE Winter Applications and Computer Vision Workshops (WACVW)

ISBN

979-8-3503-2056-5

ISSN

2690-621X

e-ISSN

—

Počet stran výsledku

38

Strana od-do

265-302

Název nakladatele

IEEE COMPUTER SOC

Místo vydání

LOS ALAMITOS

Místo konání akce

Waikoloa

Datum konání akce

3. 1. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000971997900029