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[bibtex]@InProceedings{Kiefer_2023_WACV, author = {Kiefer, Benjamin and Kristan, Matej and Per\v{s}, Janez and \v{Z}ust, Lojze and Poiesi, Fabio and Andrade, Fabio and Bernardino, Alexandre and Dawkins, Matthew and Raitoharju, Jenni and Quan, Yitong and Atmaca, Adem and H\"ofer, Timon and Zhang, Qiming and Xu, Yufei and Zhang, Jing and Tao, Dacheng and Sommer, Lars and Spraul, Raphael and Zhao, Hangyue and Zhang, Hongpu and Zhao, Yanyun and Augustin, Jan Lukas and Jeon, Eui-ik and Lee, Impyeong and Zedda, Luca and Loddo, Andrea and Di Ruberto, Cecilia and Verma, Sagar and Gupta, Siddharth and Muralidhara, Shishir and Hegde, Niharika and Xing, Daitao and Evangeliou, Nikolaos and Tzes, Anthony and Bartl, Vojt\v{e}ch and \v{S}pa\v{n}hel, Jakub and Herout, Adam and Bhowmik, Neelanjan and Breckon, Toby P. and Kundargi, Shivanand and Anvekar, Tejas and Tabib, Ramesh Ashok and Mudenagudi, Uma and Vats, Arpita and Song, Yang and Liu, Delong and Li, Yonglin and Li, Shuman and Tan, Chenhao and Lan, Long and Somers, Vladimir and De Vleeschouwer, Christophe and Alahi, Alexandre and Huang, Hsiang-Wei and Yang, Cheng-Yen and Hwang, Jenq-Neng and Kim, Pyong-Kun and Kim, Kwangju and Lee, Kyoungoh and Jiang, Shuai and Li, Haiwen and Ziqiang, Zheng and Vu, Tuan-Anh and Nguyen-Truong, Hai and Yeung, Sai-Kit and Jia, Zhuang and Yang, Sophia and Hsu, Chih-Chung and Hou, Xiu-Yu and Jhang, Yu-An and Yang, Simon and Yang, Mau-Tsuen}, title = {1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2023}, pages = {265-302} }
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
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 Maritime 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 methodologies of over 130|submissions. The methods are summarized in the appendix.|The datasets, evaluation code and the leaderboard are|publicly available (https://seadronessee.cs.uni-tuebingen.de/macvi).
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