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2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results

Kiefer, Benjamin and Zust, Lojze and Kristan, Matej and Pers, Janez and Tersek, Matija and Wiliem, Arnold and Messmer, Martin and Yang, Cheng-Yen and Huang, Hsiang-Wei and Jiang, Zhongyu and Kuo, Heng-Cheng and Mei, Ji and Hwang, Jenq-Neng and Stadler, Daniel and Sommer, Lars and Huang, Kaer and Zheng, Aiguo and Chong, Weitu and Lertniphonphan, Kanokphan and Xie, Jun and Chen, Feng and Li, Jian and Wang, Zhepeng and Zedda, Luca and Loddo, Andrea and Di Ruberto, Cecilia and Vu, Tuan-Anh and Nguyen-Truong, Hai and Tang-Sa, Ha and Pham, Quan-Dung and Yeung, Sai-Kit and Feng, Yuan and Thanh Thien, Nguyen and Tian, Lixin and Kuan, Sheng-Yao and Ho, Yua-Hao and Bueno Rodriguez, Angel and Carrillo Perez, Borja Jesus and Klein, Alexander and Alex, Antje and Steiniger, Yannik and Sattler, Felix and Solano Carrillo, Edgardo and Fabijanic, Matej and Sumunec, Magdalena and Kapetanovic, Nadir and Michel, Andreas and Gross, Wolfgang and Weinmann, Martin (2024) 2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results. 2nd Workshop on Maritime Computer Vision (MaCVi), 2024-01-08, Hawaii, USA.

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Abstract

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 efficient 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

Item URL in elib:https://elib.dlr.de/202238/
Document Type:Conference or Workshop Item (Speech)
Title:2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Kiefer, BenjaminUniversity of TubingenUNSPECIFIEDUNSPECIFIED
Zust, LojzeUniversity of LjubljanaUNSPECIFIEDUNSPECIFIED
Kristan, MatejUniversity of LjubljanaUNSPECIFIEDUNSPECIFIED
Pers, JanezUniversity of LjubljanaUNSPECIFIEDUNSPECIFIED
Tersek, MatijaLuxonisUNSPECIFIEDUNSPECIFIED
Wiliem, ArnoldSentient Vision SystemsUNSPECIFIEDUNSPECIFIED
Messmer, MartinUniversity of TubingenUNSPECIFIEDUNSPECIFIED
Yang, Cheng-YenUniversity of WashingtonUNSPECIFIEDUNSPECIFIED
Huang, Hsiang-WeiUniversity of WashingtonUNSPECIFIEDUNSPECIFIED
Jiang, ZhongyuUniversity of WashingtonUNSPECIFIEDUNSPECIFIED
Kuo, Heng-ChengUniversity of WashingtonUNSPECIFIEDUNSPECIFIED
Mei, JiUniversity of WashingtonUNSPECIFIEDUNSPECIFIED
Hwang, Jenq-NengUniversity of WashingtonUNSPECIFIEDUNSPECIFIED
Stadler, DanielFraunhofer IOSBUNSPECIFIEDUNSPECIFIED
Sommer, LarsUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Huang, KaerLenovo ResearchUNSPECIFIEDUNSPECIFIED
Zheng, AiguoLenovoUNSPECIFIEDUNSPECIFIED
Chong, WeituFudan UniversityUNSPECIFIEDUNSPECIFIED
Lertniphonphan, KanokphanLenovo ResearchUNSPECIFIEDUNSPECIFIED
Xie, JunLenovo ResearchUNSPECIFIEDUNSPECIFIED
Chen, FengLenovo ResearchUNSPECIFIEDUNSPECIFIED
Li, JianLenovoUNSPECIFIEDUNSPECIFIED
Wang, ZhepengLenovo ResearchUNSPECIFIEDUNSPECIFIED
Zedda, LucaUniversity of CagliariUNSPECIFIEDUNSPECIFIED
Loddo, AndreaUniversity of CagliariUNSPECIFIEDUNSPECIFIED
Di Ruberto, CeciliaUniversity of CagliariUNSPECIFIEDUNSPECIFIED
Vu, Tuan-AnhThe Hong Kong University of Science and TechnologyUNSPECIFIEDUNSPECIFIED
Nguyen-Truong, HaiThe Hong Kong University of Science and TechnologyUNSPECIFIEDUNSPECIFIED
Tang-Sa, HaThe Hong Kong University of Science and TechnologyUNSPECIFIEDUNSPECIFIED
Pham, Quan-DungThe Hong Kong University of Science and TechnologyUNSPECIFIEDUNSPECIFIED
Yeung, Sai-KitThe Hong Kong University of Science and TechnologyUNSPECIFIEDUNSPECIFIED
Feng, YuanDalian Maritime UniversityUNSPECIFIEDUNSPECIFIED
Thanh Thien, NguyenUniverstiy of Information TechnologyUNSPECIFIEDUNSPECIFIED
Tian, LixinDalian Maritime UniversityUNSPECIFIEDUNSPECIFIED
Kuan, Sheng-YaoUniversity of WashingtonUNSPECIFIEDUNSPECIFIED
Ho, Yua-HaoUniversity of WashingtonUNSPECIFIEDUNSPECIFIED
Bueno Rodriguez, AngelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Carrillo Perez, Borja JesusUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Klein, AlexanderUNSPECIFIEDhttps://orcid.org/0009-0004-2403-0455UNSPECIFIED
Alex, AntjeUNSPECIFIEDhttps://orcid.org/0009-0003-4591-7859UNSPECIFIED
Steiniger, YannikUNSPECIFIEDhttps://orcid.org/0000-0002-9327-446XUNSPECIFIED
Sattler, FelixUNSPECIFIEDhttps://orcid.org/0000-0001-8869-282XUNSPECIFIED
Solano Carrillo, EdgardoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fabijanic, MatejUniversity of ZagrebUNSPECIFIEDUNSPECIFIED
Sumunec, MagdalenaUniversity of ZagrebUNSPECIFIEDUNSPECIFIED
Kapetanovic, NadirUniversity of ZagrebUNSPECIFIEDUNSPECIFIED
Michel, AndreasFraunhofer IOSBUNSPECIFIEDUNSPECIFIED
Gross, WolfgangFraunhofer IOSBUNSPECIFIEDUNSPECIFIED
Weinmann, MartinKIT KarlsruheUNSPECIFIEDUNSPECIFIED
Date:2024
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:maritime, computer vision, machine learning, deep learning, tracking, object detection
Event Title:2nd Workshop on Maritime Computer Vision (MaCVi)
Event Location:Hawaii, USA
Event Type:international Conference
Event Date:8 January 2024
Organizer:IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:no assignment
DLR - Program:no assignment
DLR - Research theme (Project):no assignment
Location: Bremerhaven
Institutes and Institutions:Institute for the Protection of Maritime Infrastructures > Maritime Security Technologies
Deposited By: Bueno Rodriguez, Angel
Deposited On:26 Jan 2024 14:32
Last Modified:09 Jul 2024 11:09

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