The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024
Benjamin Kiefer Lojze Žust Matej Kristan Janez Perš Matija Teršek Arnold Wiliem Martin Messmer Cheng-Yen Yang Hsiang-Wei Huang Zhongyu Jiang Heng-Cheng Kuo Jie Mei Jenq-Neng Hwang Daniel Stadler Lars Sommer Kaer Huang Aiguo Zheng Weitu Chong Kanokphan Lertniphonphan Jun Xie Feng Chen Jian Li Zhepeng Wang Luca Zedda Andrea Loddo Cecilia Di Ruberto Tuan-Anh Vu Hai Nguyen-Truong Tan-Sang Ha Quan-Dung Pham Sai-Kit Yeung Yuan Feng Nguyen Thanh Thien Lixin Tian Sheng-Yao Kuan Yuan-Hao Ho Angel Bueno Rodriguez Borja Carrillo-Perez Alexander Klein Antje Alex Yannik Steiniger Felix Sattler Edgardo Solano-Carrillo Matej Fabijanić Magdalena Šumunec Nadir Kapetanović Andreas Michel Wolfgang Gross Martin Weinmann
The 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-identification, (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.