3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results
Benjamin Kiefer, Lojze \v{Z}ust, Jon Muhovi\v{c}, Matej Kristan, Janez, Per\v{s}, Matija Ter\v{s}ek, Uma Mudenagudi Chaitra Desai, Arnold Wiliem,, Marten Kreis, Nikhil Akalwadi, Yitong Quan, Zhiqiang Zhong, Zhe Zhang, Sujie, Liu, Xuran Chen, Yang Yang, Matej Fabijani\'c
TL;DR
The MaCVi 2025 workshop presents challenge results in maritime computer vision, analyzing over 700 submissions for USV and underwater applications, with publicly available datasets and evaluation tools.
Contribution
This report provides the first comprehensive analysis of challenge submissions in maritime computer vision, including statistical and qualitative insights.
Findings
Over 700 submissions analyzed
Identification of current trends and challenges
Public datasets and evaluation tools released
Abstract
The 3rd Workshop on Maritime Computer Vision (MaCVi) 2025 addresses maritime computer vision for Unmanned Surface Vehicles (USV) and underwater. This report offers a comprehensive overview of the findings from the challenges. We provide both statistical and qualitative analyses, evaluating trends from over 700 submissions. All datasets, evaluation code, and the leaderboard are available to the public at https://macvi.org/workshop/macvi25.
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Taxonomy
TopicsMaritime Navigation and Safety