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Detection of railway catenary insulator defects based on improved YOLOv5s
In this article, a method of railway catenary insulator defects detection is proposed, named RCID-YOLOv5s. In order to improve the network’s ability to detect defects in railway catenary insulators, a small object detection layer is introduced into the network model. Moreover, the Triplet Attention...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403183/ https://www.ncbi.nlm.nih.gov/pubmed/37547415 http://dx.doi.org/10.7717/peerj-cs.1474 |