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

Benjamin Kiefer, Lojze Žust, Jon Muhovič, Matej Kristan, Janez Perš +43 more
1/17/2025
cs.CVcs.AI

No confident code implementation found for this paper. 6 possible matches can be shown below.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 6 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{kiefer2025workshop,
  title  = {3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results},
  author = {Benjamin Kiefer and Lojze Žust and Jon Muhovič and Matej Kristan and Janez Perš and Matija Teršek and Uma Mudenagudi Chaitra Desai and Arnold Wiliem and Marten Kreis and Nikhil Akalwadi and Yitong Quan and Zhiqiang Zhong and Zhe Zhang and Sujie Liu and Xuran Chen and Yang Yang and Matej Fabijanić and Fausto Ferreira and Seongju Lee and Junseok Lee and Kyoobin Lee and Shanliang Yao and Runwei Guan and Xiaoyu Huang and Yi Ni and Himanshu Kumar and Yuan Feng and Yi-Ching Cheng and Tzu-Yu Lin and Chia-Ming Lee and Chih-Chung Hsu and Jannik Sheikh and Andreas Michel and Wolfgang Gross and Martin Weinmann and Josip Šarić and Yipeng Lin and Xiang Yang and Nan Jiang and Yutang Lu and Fei Feng and Ali Awad and Evan Lucas and Ashraf Saleem and Ching-Heng Cheng and Yu-Fan Lin and Tzu-Yu Lin and Chih-Chung Hsu},
  year   = {2025},
  eprint = {2501.10343},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2501.10343v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2501.10343.svg)](https://codeofpaper.com/paper/2501.10343)

Discussion