Search papers, labs, and topics across Lattice.
The 4th Maritime Computer Vision (MaCVi) workshop at CVPR 2026 featured five benchmark challenges focused on maritime computer vision tasks, emphasizing both accuracy and real-time performance for embedded systems. The workshop evaluated emerging methods using standardized datasets and evaluation protocols, providing quantitative results, qualitative comparisons, and cross-challenge analyses. Analysis of top-performing teams' technical reports highlights practical design choices and lessons learned in the maritime domain.
Maritime computer vision is making strides in real-time feasibility, as evidenced by the MaCVi 2026 challenge results.
The 4th 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.
