Year: 2025
Type: conference-paper
Abstract: The 3rdWorkshop 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.
Authors: Benjamin Kiefer, Lojze Žust, Jon Muhovič, Matej Kristan, Janez Perš, Matija Teršek, Uma Mudenagudi, Chaitra Desai, Arnold Wiliem, Marten Kreis, Nikhil Akalwadi, Yitong Quan, Zhiqiang Zhong, Zhe Zhang, Sujie Liu, Xuran Chen, Yang Yang, Matej Fabijanić, Fausto Ferreira, Seongju Lee, Junseok Lee, Kyoobin Lee, Shanliang Yao, Runwei Guan, Xiaoyu Huang, Yi Ni, Himanshu Kumar, Yuan Feng, Yi-Ching Cheng, Tzu-Yu Lin, Chia-Ming Lee, Chih-Chung Hsu, Jannik Sheikh, Andreas Michel, Wolfgang Gross, Martin Weinmann, Josip Šarić, Yipeng Lin, Xiang Yang, Nan Jiang, Yutang Lu, Fei Feng, Ali Awad, Evan Lucas, Ashraf Saleem, Ching-Heng Cheng, Yu-Fan Lin, Tzu-Yu Lin, Chih-Chung Hsu
Institutions: University of Ljubljana, KLE Technological University, University of Tübingen, Nanjing University of Science and Technology, University of Zagreb, Faculty of Electrical Engineering and Computing in Zagreb, Gwangju Institute of Science and Technology, Yancheng Institute of Technology, The Hong Kong University of Science and Technology (Guangzhou), University of Liverpool, Xi’an Jiaotong-Liverpool University, Dalian Maritime University, National Cheng Kung University, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe Institute of Technology, Nanjing University, Beijing University of Posts and Telecommunications, Michigan Technological University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4409917821