1st Workshop on Maritime Computer Vision (MaCVi)
Submission of contributed papers
Authors are encouraged to submit original high quality research papers.
Papers accepted and presented at this WACV workshop will be published as part of the
WACV Workshop Proceedings and will be included in IEEE Xplore. Authors of the best three papers will be invited to submit an extended version of their work to a Special Issue of the Sensors Journal free of charge and additional five works will be invited to submit with half the publication costs.
Paper submissions should follow the same guidelines as for the main WACV 2023 conference. In particular, the main paper has an 8-page limit, excluding the references. There is no limit on the number of pages in the supplementary material. Please use the official WACV 2023 paper template available on Overleaf and Github. Please note, that at least one author per accepted paper needs to register to the conference by the camera-ready deadline. Accepted papers are supposed to be presented in a 2-minute spotlight presentation and there will be a subsequent poster session.
All papers should be submitted via CMT using this link:
https://cmt3.research.microsoft.com/MaCVi2023/
Paper submissions should follow the same guidelines as for the main WACV 2023 conference. In particular, the main paper has an 8-page limit, excluding the references. There is no limit on the number of pages in the supplementary material. Please use the official WACV 2023 paper template available on Overleaf and Github. Please note, that at least one author per accepted paper needs to register to the conference by the camera-ready deadline. Accepted papers are supposed to be presented in a 2-minute spotlight presentation and there will be a subsequent poster session.
All papers should be submitted via CMT using this link:
If you have any questions regarding scope, submission modalities or others, direct them to benjamin.kiefer ✉ uni-tuebingen.de.
Submit results to MaCVi2023 challenges
An integral part of the workshop are the four challenges UAV Object Detection & Tracking and USV Obstacle Segmentation & Detection. These challenges aim to
foster the development of computer vision algorithms in SaR missions and autonomous boat navigation, respectively. The UAV Object Detection & Tracking challenge is mainly based on
an updated version of SeaDronesSee whereas the USV Obstacle Segmentation & Detection is based on the MODS benchmark.
The focus of all challenges will be on accuracy (algorithm performance as measured by challenge-specific evaluation metrics),
but require participants to submit the processing speed of their algorithms in frames per second, and specification of the hardware used.
There are 4 challenges: UAV-based Object Detection & Tracking and USV-based Obstacle Detection & Segmentation.