This work has been included in larger dataset and benchmark, RipVIS:Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety.
For more ongoing challenges, dataset and more details, please check out https://RipVIS.ai .
The rest of the repository is maintained as-is for reproducibility purposes.
This repository contains our ongoing work on rip current detection and segmentation. As this is an active project, it is subject to continuous modifications and improvements, so we encourage you to check back regularly for updates check https://RipVIS.ai for updates.
Details, logs, datasets, and other resources related to our paper presented at the CVPR 2023 NTIRE Workshop, titled "Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results", are located in the folder: Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results .
Please note that the content of this specific folder is frozen to preserve the information exactly as it was at the time of the paper's publication. However, you may find an updated version of this information in the main repository on the RipVIS website, reflecting our ongoing work and improvements in this area.
Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results
@inproceedings{dumitriu2023rip,
title="{Rip Current Segmentation: A novel benchmark and YOLOv8 baseline results}",
author={Dumitriu, Andrei and Tatui, Florin and Miron, Florin and Ionescu, Radu Tudor and Timofte, Radu},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
pages={1261--1271},
year={2023}
}
RipVIS:Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety
@inproceedings{dumitriu2025ripvis,
author = {Dumitriu, Andrei and Tatui, Florin and Miron, Florin and Ralhan, Aakash and Ionescu, Radu Tudor and Timofte, Radu},
title = {RipVIS: Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2025},
pages = {3427--3437}
}
AIM 2025 Rip Current Segmentation (RipSeg) Challenge
@inproceedings{aim2025ripseg,
title={{AIM} 2025 Rip Current Segmentation ({RipSeg})} Challenge Report,
author={Andrei Dumitriu and Florin Miron and Florin Tatui and Radu Tudor Ionescu and Radu Timofte and Aakash Ralhan and Florin-Alexandru Vasluianu and others},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
year={2025}
}
We welcome contributions! Please check out https://RipVIS.ai for more details.