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A Novel Focal Phi Loss for Power Line Segmentation with Auxiliary Classifier U-Net
The segmentation of power lines (PLs) from aerial images is a crucial task for the safe navigation of unmanned aerial vehicles (UAVs) operating at low altitudes. Despite the advances in deep learning-based approaches for PL segmentation, these models are still vulnerable to the class imbalance prese...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073893/ https://www.ncbi.nlm.nih.gov/pubmed/33923472 http://dx.doi.org/10.3390/s21082803 |