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

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

研究成果: Conference contribution

8 引文 斯高帕斯(Scopus)

摘要

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).

原文English
主出版物標題Proceedings - 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023
發行者Institute of Electrical and Electronics Engineers Inc.
頁面265-302
頁數38
ISBN(電子)9798350320565
DOIs
出版狀態Published - 2023
事件2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023 - Waikoloa, United States
持續時間: 2023 1月 32023 1月 7

出版系列

名字Proceedings - 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023

Conference

Conference2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023
國家/地區United States
城市Waikoloa
期間23-01-0323-01-07

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦科學應用
  • 電腦視覺和模式識別
  • 決策科學(雜項)
  • 統計、概率和不確定性

指紋

深入研究「1stWorkshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results」主題。共同形成了獨特的指紋。

引用此