Aerial insulator defect detection method based on CWSP-YOLO
Abstract With the rapid evolution of UAV technology, intelligent power equipment inspection via aerial imagery is critical. To address traditional insulator defect detection bottlenecks (high false/missed detection, insufficient multimodal fusion), this paper proposes an improved YOLOv11-based model...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2026-04-01
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| Series: | Scientific Reports |
| Acceso en liña: | https://doi.org/10.1038/s41598-026-40782-2 |
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