1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

Kiefer, Benjamin; Kristan, Matej; Pers, Janez; Zust, Lojze; Poiesi, Fabio; De Alcantara Andrade, Fabio Augusto; Bernardino, Alexandre; Dawkins, Matthew; Raitoharju, Jenni; Quan, Yitong; Atmaca, Adem; Hofer, Timon; Zhang, Qiming; Xu, Yufei; Zhang, Jing; Tao, Dacheng; Sommer, Lars; Spraul, Raphael; Zhao, Hangyue; Zhang, Hongpu; Zhao, Yanyun; Augustin, Jan Lukas; Jeon, Eui Ik; Lee, Impyeong; Zedda, Luca; Loddo, Andrea; Di Ruberto, Cecilia; Verma, Sagar; Gupta, Siddharth; Muralidhara, Shishir; Hegde, Niharika; Xing, Daitao; Evangeliou, Nikolaos; Tzes, Anthony; Bartl, Vojtech; Spanhel, Jakub; Herout, Adam; Bhowmik, Neelanjan; Breckon, Toby P.; Kundargi, Shivanand; Anvekar, Tejas; Tabib, Ramesh Ashok; Mudengudi, Uma; Vats, Arpita; Song, Yang; Liu, Delong; Li, Yonglin; Li, Shuman; Tan, Chenhao; Lan, Long; Somers, Vladimir; De Vleeschouwer, Christophe; Alahi, Alexandre; Huang, Hsiang Wei; Yang, Cheng Yen; Hwang, Jenq Neng; Kim, Pyong Kun; Kim, Kwangju; Lee, Kyoungoh; Jiang, Shuai; Li, Haiwen;...

Abstract

The 1st 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).

Citation

Kiefer, B., Kristan, M., Pers, J., Zust, L., Poiesi, F., De Alcantara Andrade, F. A., Bernardino, A., Dawkins, M., Raitoharju, J., Quan, Y., Atmaca, A., Hofer, T., Zhang, Q., Xu, Y., Zhang, J., Tao, D., Sommer, L., Spraul, R., Zhao, H., Zhang, H., …Yang, M. T. (2023, January). 1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. Presented at Proceedings - 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023, Waikoloa, HI, USA

• Presentation Conference Type: Edited Proceedings
• Conference Name: Proceedings - 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023
• Start Date: Jan 3, 2023
• End Date: Jan 7, 2023
• Acceptance Date: Dec 1, 2022
• Online Publication Date: Feb 7, 2023
• Publication Date: Feb 7, 2023
• Deposit Date: Feb 23, 2025
• Publisher: IEEE Canada
• Peer Reviewed: Peer Reviewed
• Pages: 265-302
• DOI: https://doi.org/10.1109/WACVW58289.2023.00033
• Public URL: https://durham-repository.worktribe.com/output/3535897