Publication | Open Access
1<sup>st</sup> Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
28
Citations
76
References
2023
Year
Unknown Venue
EngineeringField RoboticsPrecision NavigationUnderwater ImagingImage AnalysisPattern RecognitionRov ObservationSeveral SubchallengesIndividual SubchallengesObject TrackingComputational ImagingMaritime Computer VisionFlight ValidationMachine VisionObject DetectionComputer ScienceComputer VisionAerospace EngineeringUnmanned Aerial SystemsMarine Surveillance
The 1 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">st</sup> Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and organized several subchallenges in this domain: (i) UAV-based Maritime Object Detection, (ii) UAV-based Mar-itime Object Tracking, (iii) USV-based Maritime Obstacle Segmentation and (iv) USV-based Maritime Obstacle Detection. The subchallenges were based on the SeaDronesSee and MODS benchmarks. This report summarizes the main findings of the individual subchallenges and introduces a new benchmark, called SeaDronesSee Object Detection v2, which extends the previous benchmark by including more classes and footage. We provide statistical and qualitative analyses, and assess trends in the best-performing method-ologies of over 130 submissions. The methods are sum-marized in the appendix. The datasets, evaluation code and the leaderboard are publicly available (https://seadronessee.cs.uni-tuebingen.de/macvi).
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