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Learning with Weak Annotations for Robust Maritime Obstacle Detection
Robust maritime obstacle detection is critical for safe navigation of autonomous boats and timely collision avoidance. The current state-of-the-art is based on deep segmentation networks trained on large datasets. However, per-pixel ground truth labeling of such datasets is labor-intensive and expen...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736343/ https://www.ncbi.nlm.nih.gov/pubmed/36501841 http://dx.doi.org/10.3390/s22239139 |