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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.
AbstractThe 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/ |
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| Document Type: | Conference or Workshop Item (Speech) |
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| Title: | 2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results |
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| Authors: | | Authors | Institution or Email of Authors | Author's ORCID iD | ORCID Put Code |
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| Kiefer, Benjamin | University of Tubingen | UNSPECIFIED | UNSPECIFIED | | Zust, Lojze | University of Ljubljana | UNSPECIFIED | UNSPECIFIED | | Kristan, Matej | University of Ljubljana | UNSPECIFIED | UNSPECIFIED | | Pers, Janez | University of Ljubljana | UNSPECIFIED | UNSPECIFIED | | Tersek, Matija | Luxonis | UNSPECIFIED | UNSPECIFIED | | Wiliem, Arnold | Sentient Vision Systems | UNSPECIFIED | UNSPECIFIED | | Messmer, Martin | University of Tubingen | UNSPECIFIED | UNSPECIFIED | | Yang, Cheng-Yen | University of Washington | UNSPECIFIED | UNSPECIFIED | | Huang, Hsiang-Wei | University of Washington | UNSPECIFIED | UNSPECIFIED | | Jiang, Zhongyu | University of Washington | UNSPECIFIED | UNSPECIFIED | | Kuo, Heng-Cheng | University of Washington | UNSPECIFIED | UNSPECIFIED | | Mei, Ji | University of Washington | UNSPECIFIED | UNSPECIFIED | | Hwang, Jenq-Neng | University of Washington | UNSPECIFIED | UNSPECIFIED | | Stadler, Daniel | Fraunhofer IOSB | UNSPECIFIED | UNSPECIFIED | | Sommer, Lars | Lars.Sommer (at) iosb.fraunhofer.de | UNSPECIFIED | UNSPECIFIED | | Huang, Kaer | Lenovo Research | UNSPECIFIED | UNSPECIFIED | | Zheng, Aiguo | Lenovo | UNSPECIFIED | UNSPECIFIED | | Chong, Weitu | Fudan University | UNSPECIFIED | UNSPECIFIED | | Lertniphonphan, Kanokphan | Lenovo Research | UNSPECIFIED | UNSPECIFIED | | Xie, Jun | Lenovo Research | UNSPECIFIED | UNSPECIFIED | | Chen, Feng | Lenovo Research | UNSPECIFIED | UNSPECIFIED | | Li, Jian | Lenovo | UNSPECIFIED | UNSPECIFIED | | Wang, Zhepeng | Lenovo Research | UNSPECIFIED | UNSPECIFIED | | Zedda, Luca | University of Cagliari | UNSPECIFIED | UNSPECIFIED | | Loddo, Andrea | University of Cagliari | UNSPECIFIED | UNSPECIFIED | | Di Ruberto, Cecilia | University of Cagliari | UNSPECIFIED | UNSPECIFIED | | Vu, Tuan-Anh | The Hong Kong University of Science and Technology | UNSPECIFIED | UNSPECIFIED | | Nguyen-Truong, Hai | The Hong Kong University of Science and Technology | UNSPECIFIED | UNSPECIFIED | | Tang-Sa, Ha | The Hong Kong University of Science and Technology | UNSPECIFIED | UNSPECIFIED | | Pham, Quan-Dung | The Hong Kong University of Science and Technology | UNSPECIFIED | UNSPECIFIED | | Yeung, Sai-Kit | The Hong Kong University of Science and Technology | UNSPECIFIED | UNSPECIFIED | | Feng, Yuan | Dalian Maritime University | UNSPECIFIED | UNSPECIFIED | | Thanh Thien, Nguyen | Universtiy of Information Technology | UNSPECIFIED | UNSPECIFIED | | Tian, Lixin | Dalian Maritime University | UNSPECIFIED | UNSPECIFIED | | Kuan, Sheng-Yao | University of Washington | UNSPECIFIED | UNSPECIFIED | | Ho, Yua-Hao | University of Washington | UNSPECIFIED | UNSPECIFIED | | Bueno Rodriguez, Angel | angel.bueno (at) dlr.de | UNSPECIFIED | UNSPECIFIED | | Carrillo Perez, Borja Jesus | Borja.CarrilloPerez (at) dlr.de | UNSPECIFIED | UNSPECIFIED | | Klein, Alexander | alexander.klein (at) dlr.de | https://orcid.org/0009-0004-2403-0455 | UNSPECIFIED | | Alex, Antje | antje.alex (at) dlr.de | https://orcid.org/0009-0003-4591-7859 | UNSPECIFIED | | Steiniger, Yannik | Yannik.Steiniger (at) dlr.de | https://orcid.org/0000-0002-9327-446X | UNSPECIFIED | | Sattler, Felix | Felix.Sattler (at) dlr.de | https://orcid.org/0000-0001-8869-282X | UNSPECIFIED | | Solano Carrillo, Edgardo | Edgardo.SolanoCarrillo (at) dlr.de | UNSPECIFIED | UNSPECIFIED | | Fabijanic, Matej | University of Zagreb | UNSPECIFIED | UNSPECIFIED | | Sumunec, Magdalena | University of Zagreb | UNSPECIFIED | UNSPECIFIED | | Kapetanovic, Nadir | University of Zagreb | UNSPECIFIED | UNSPECIFIED | | Michel, Andreas | Fraunhofer IOSB | UNSPECIFIED | UNSPECIFIED | | Gross, Wolfgang | Fraunhofer IOSB | UNSPECIFIED | UNSPECIFIED | | Weinmann, Martin | KIT Karlsruhe | UNSPECIFIED | UNSPECIFIED |
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| Date: | 2024 |
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| Refereed publication: | No |
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| Open Access: | Yes |
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| Gold Open Access: | No |
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| In SCOPUS: | No |
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| In ISI Web of Science: | No |
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| Status: | Published |
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| Keywords: | maritime, computer vision, machine learning, deep learning, tracking, object detection |
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| Event Title: | 2nd Workshop on Maritime Computer Vision (MaCVi) |
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| Event Location: | Hawaii, USA |
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| Event Type: | international Conference |
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| Event Date: | 8 January 2024 |
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| Organizer: | IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) |
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| HGF - Research field: | other |
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| HGF - Program: | other |
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| HGF - Program Themes: | other |
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| DLR - Research area: | no assignment |
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| DLR - Program: | no assignment |
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| DLR - Research theme (Project): | no assignment |
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Location: |
Bremerhaven
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| Institutes and Institutions: | Institute for the Protection of Maritime Infrastructures > Maritime Security Technologies |
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| Deposited By: |
Bueno Rodriguez, Angel
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| Deposited On: | 26 Jan 2024 14:32 |
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| Last Modified: | 09 Jul 2024 11:09 |
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