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

Authors :
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 Luke
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
Zheng, Ziqiang
Vu, Tuan Anh
Nguyen, Truong Hai
Yeung, Sai Kit
Jia, Zhuang
Yang, Sophia
Hsu, Chih-Chung
Hou, Xiu-Yu
Jhang, Yu-An
Yang, Simon
Yang, Mau-Tsuen
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 Luke
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
Zheng, Ziqiang
Vu, Tuan Anh
Nguyen, Truong Hai
Yeung, Sai Kit
Jia, Zhuang
Yang, Sophia
Hsu, Chih-Chung
Hou, Xiu-Yu
Jhang, Yu-An
Yang, Simon
Yang, Mau-Tsuen
Publication Year :
2023

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). © 2023 IEEE.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1376638351
Document Type :
Electronic Resource