4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview

Benjamin Kiefer, Jan Lukas Augustin, Jon Muhovič, Mingi Jeong, Arnold Wiliem, Janez Pers, Matej Kristan, Alberto Quattrini Li, Matija Teršek, Josip Šarić, Arpita Vats, Dominik Hildebrand, Rafia Rahim, Mahmut Karaaslan, Ersin Kaya, Akib Mashrur, Tze-Hsiang Tang, Chun-Ming Tsai, Jun-Wei Hsieh, Ming-Ching Chang et al. (28 additional authors not shown)

Keywords: maritime computer vision, maritime robotics

TL;DR: We're analyzing trends and prevalent computer vision methods for various maritime computer vision problems

Abstract: The 4$^{\text{th}}$ Workshop on Maritime Computer Vision (MaCVi) is organized as part of CVPR 2026. This edition features five benchmark challenges with emphasis on both predictive accuracy and embedded real-time feasibility. This report summarizes the MaCVi 2026 challenge setup, evaluation protocols, datasets, and benchmark tracks, and presents quantitative results, qualitative comparisons, and cross-challenge analyses of emerging method trends. We also include technical reports from top-performing teams to highlight practical design choices and lessons learned across the benchmark suite. Datasets, leaderboards, and challenge resources are available at https://macvi.org/workshop/cvpr26.

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Submission Number: 11