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ewasr_resnet18 (Teršek et al.) trained on the LaRS maritime benchmark for
3-class semantic segmentation — obstacle / water / sky — for the SailSwarm
autonomous-sailboat obstacle-detection module (University of Konstanz).tersekmatija/eWaSR). Training data: LaRS (research/
non-commercial — derived weights inherit its terms). Verify both licenses before
any commercial or redistribution use.1@InProceedings{Zust2023LaRS,
2 title={LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark},
3 author={{\v{Z}}ust, Lojze and Per{\v{s}}, Janez and Kristan, Matej},
4 booktitle={International Conference on Computer Vision (ICCV)},
5 year={2023}
6}