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Object Detection of Flexible Objects with Arbitrary Orientation Based on Rotation-Adaptive YOLOv5 †
It is challenging to accurately detect flexible objects with arbitrary orientation from monitoring images in power grid maintenance and inspection sites. This is because these images exhibit a significant imbalance between the foreground and background, which can lead to low detection accuracy when...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223194/ https://www.ncbi.nlm.nih.gov/pubmed/37430839 http://dx.doi.org/10.3390/s23104925 |