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Auteurs principaux: Kiefer, Benjamin, Žust, Lojze, Muhovič, Jon, Kristan, Matej, Perš, Janez, Teršek, Matija, Desai, Uma Mudenagudi 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
Format: Preprint
Publié: 2025
Sujets:
Computer Vision and Pattern Recognition
Artificial Intelligence
Accès en ligne:https://arxiv.org/abs/2501.10343
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Table des matières:
  • 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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