3<sup>rd</sup> Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results

The 3<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rd</sup> 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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Publication Details

Published
2025-02-28
DOI
https://doi.org/10.1109/wacvw65960.2025.00170
Citations
3
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
3.44
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article

3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results

Matej Kristan, Chih–Chung Hsu, Yi Ni, Zhiqiang Zhong et al.
3 citations
Maritime Navigation and Safety
3.44
article

3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results

Matej Kristan, Chih–Chung Hsu, Yi Ni, Zhiqiang Zhong, Lojze Žust, Chia-Ming Lee, Shanliang Yao, Nikhil Akalwadi, Yitong Quan, Yang Xiang, Matija Teršek, Matej Fabijanić, Kyoobin Lee, Wolfgang Groß, Josip Šarić, Fausto Ferreira, Nan Jiang, Himanshu Kumar, Yipeng Lin, Benjamin Kiefer, Jon Muhovič, Ali Ismail Awad, Arnold Wiliem, Jannik Sheikh, Janez Perš, Xuran Chen, Chaitra Desai, Runwei Guan, Ashraf Saleem, Martin Weinmann, Andreas Michel, Junseok Lee, Seung‐Han Lee, Yuan Feng, Yang Yang, Zhe Zhang, Fei Feng, Sujie Liu, Tzu-Yu Lin, Xiaoyu Huang, Yi‐Ching Cheng, Yutang Lu, Evan Lucas, Uma Mudenagudi, Ching-Heng Cheng, Yu-Fan Lin, Marten Kreis
article en
3 citations

Abstract

The 3<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rd</sup> 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.

Karlsruhe Institute of Technology (DE), Michigan Technological University (US), Beijing University of Posts and Telecommunications (CN), University of Liverpool (GB), University of Ljubljana (SI), University of Zagreb (HR), KLE Technological University (IN), Nanjing University of Science and Technology (CN), Gwangju Institute of Science and Technology (KR), Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (DE), Yancheng Institute of Technology (CN), Dalian Maritime University (CN), Xi’an Jiaotong-Liverpool University (CN), University of Tübingen (DE), Nanjing University (CN), National Cheng Kung University (TW)
Openalex Percentile: Top 9%
Maritime Navigation and Safety
3.44
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