3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results
- Author(s)
- Kiefer, Benjamin; Žust, Lojze; Muhovič, Jon; Kristan, Matej; Perš, Janez; Teršek, Matija; Mudenagudi, Uma; Desai, Chaitra; Wiliem, Arnold; Kreis, Marten; Akalwadi, Nikhil; Quan, Yitong; Zhong, Zhiqiang; Zhang, Zhe; Liu, Sujie; Chen, Xuran; Yang, Yang; Fabijanić, Matej; Ferreira, Fausto; Lee, Seongju; Lee, Junseok; Lee, Kyoobin; Yao, Shanliang; Guan, Runwei; Huang, Xiaoyu; Ni, Yi; Kumar, Himanshu; Feng, Yuan; Cheng, Yi-Ching; Lin, Tzu-Yu; Lee, Chia-Ming; Hsu, Chih-Chung; Sheikh, Jannik; Michel, Andreas; Gross, Wolfgang; Weinmann, Martin; Šarić, Josip; Lin, Yipeng; Yang, Xiang; Jiang, Nan; Lu, Yutang; Feng, Fei; Awad, Ali; Lucas, Evan; Saleem, Ashraf; Cheng, Ching-Heng; Lin, Yu-Fan
- Type
- Conference Paper
- Citation
- 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2025, pp.1457 - 1484
- Issued Date
- 2025
- 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. © 2025 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Conference Place
- Tucson
- URI
- https://scholar.gist.ac.kr/handle/local/23647
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