Kiefer, BenjaminBenjaminKieferŽust, LojzeLojzeŽustKristan, MatejMatejKristanPerš, JanezJanezPeršTeršek, MatijaMatijaTeršekWiliem, ArnoldArnoldWiliemMessmer, MartinMartinMessmerYang, ChengChengYangHuang, WeiWeiHuangJiang, ZhongyuZhongyuJiangKuo, Cheng-liangCheng-liangKuoMei, JieJieMeiHwang, Jenq-nengJenq-nengHwangStadler, DanielDanielStadlerSommer, Lars WilkoLars WilkoSommerHuang, KaerKaerHuangZheng, AiguoAiguoZhengChong, WeituWeituChongLertniphonphan, KanokphanKanokphanLertniphonphanXie, Lie-junLie-junXieChen, FengFengChenLi, JianJianLiWang, ZhepengZhepengWangZedda, LucaLucaZeddaLoddo, AndreaAndreaLoddoRuberto, Cecilia diCecilia diRubertoVu, Tuan-AnhTuan-AnhVuHai, NguyenNguyenHaiHa, Van SangVan SangHaTien, Dung PhamDung PhamTienYeung, Kit LingKit LingYeungFeng, YuanYuanFengThien, Nguyen ThanhNguyen ThanhThienTian, LixinLixinTianKuan, Sheng-YaoSheng-YaoKuanHo, Yuan-HaoYuan-HaoHoBueno Rodriguez, AngelAngelBueno RodriguezCarrillo-Perez, BorjaBorjaCarrillo-PerezKlein, AlexanderAlexanderKleinAlex, AntjeAntjeAlexSteiniger, YannikYannikSteinigerSattler, FelixFelixSattlerSolano-Carrillo, EdgardoEdgardoSolano-CarrilloFabijanić, MatejMatejFabijanićŠumunec, MagdalenaMagdalenaŠumunecKapetanović, NadirNadirKapetanovićMichel, AndreasAndreasMichelGroß, WolfgangWolfgangGroßWeinmann, MartinMartinWeinmann2024-04-192024-04-192024https://publica.fraunhofer.de/handle/publica/46621610.1109/wacvw60836.2024.000992-s2.0-85191144489The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV). Three challenges categories are considered: (i) UAV-based Maritime Object Tracking with Re-ideruification, (ii) USV-based Maritime Obstacle Segmentation and Detection, (iii) USV-based Maritime Boat Tracking. The USV-based Maritime Obstacle Segmentation and Detection features three sub-challenges, including a new embedded challenge addressing efficicent inference on real-world embedded devices. This report offers a comprehensive overview of the findings from the challenges. We provide both statistical and qualitative analyses, evaluating trends from over 195 submissions. All datasets, evaluation code, and the leaderboard are available to the public at https://macvi.org/workshop/macvi24.enComputer visionConferencesComputational modelingObject detectionFeature extractionAutonomous aerial vehiclesTransformersconference paper