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ViCoS Lab

Authors

Benjamin Kiefer
Benjamin Kiefer
Lojze Žust, MSc
Lojze Žust, MSc
Matej Kristan, PhD
Matej Kristan, PhD
Janez Perš
Janez Perš
Matija Teršek
Matija Teršek
Arnold Wiliem
Arnold Wiliem
Martin Messmer
Martin Messmer
Cheng-Yen Yang
Cheng-Yen Yang
Hsiang-Wei Huang
Hsiang-Wei Huang
Zhongyu Jiang
Zhongyu Jiang
Heng-Cheng Kuo
Heng-Cheng Kuo
Jie Mei
Jie Mei
Jenq-Neng Hwang
Jenq-Neng Hwang
Daniel Stadler
Daniel Stadler
Lars Sommer
Lars Sommer
Kaer Huang
Kaer Huang
Aiguo Zheng
Aiguo Zheng
Weitu Chong
Weitu Chong
Kanokphan Lertniphonphan
Kanokphan Lertniphonphan
Jun Xie
Jun Xie
Feng Chen
Feng Chen
Jian Li
Jian Li
Zhepeng Wang
Zhepeng Wang
Luca Zedda
Luca Zedda
Andrea Loddo
Andrea Loddo
Cecilia Di Ruberto
Cecilia Di Ruberto
Tuan-Anh Vu
Tuan-Anh Vu
Hai Nguyen-Truong
Hai Nguyen-Truong
Tan-Sang Ha
Tan-Sang Ha
Quan-Dung Pham
Quan-Dung Pham
Sai-Kit Yeung
Sai-Kit Yeung
Yuan Feng
Yuan Feng
Nguyen Thanh Thien
Nguyen Thanh Thien
Lixin Tian
Lixin Tian
Sheng-Yao Kuan
Sheng-Yao Kuan
Yuan-Hao Ho
Yuan-Hao Ho
Angel Bueno Rodriguez
Angel Bueno Rodriguez
Borja Carrillo-Perez
Borja Carrillo-Perez
Alexander Klein
Alexander Klein
Antje Alex
Antje Alex
Yannik Steiniger
Yannik Steiniger
Felix Sattler
Felix Sattler
Edgardo Solano-Carrillo
Edgardo Solano-Carrillo
Matej Fabijanić
Matej Fabijanić
Magdalena Šumunec
Magdalena Šumunec
Nadir Kapetanović
Nadir Kapetanović
Andreas Michel
Andreas Michel
Wolfgang Gross
Wolfgang Gross
Martin Weinmann
Martin Weinmann

Links

  •   External link
  •   Document

Tags

USV UAV maritime computer vision maritime obstacle detection

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

Benjamin Kiefer, Lojze Žust, Matej Kristan, Janez Perš, Matija Teršek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang, et al.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024,

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 De- tection, (iii) USV-based Maritime Boat Tracking. The USV-based Maritime Obstacle Segmentation and Detec- tion features three sub-challenges, including a new em- bedded challenge addressing efficicent inference on real- world embedded devices. This report offers a comprehen- sive overview of the findings from the challenges. We pro- vide 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.

Faculty of Computer and Information Science

Visual Cognitive Systems Laboratory

University of Ljubljana

Faculty of Computer and Information Science

Večna pot 113
SI-1000 Ljubljana
Slovenia
Tel.: +386 1 479 8245