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Convolutional Neural Network Defect Detection Algorithm for Wire Bonding X-ray Images
To address the challenges of complex backgrounds, small defect sizes, and diverse defect types in defect detection of wire bonding X-ray images, this paper proposes a convolutional-neural-network-based defect detection method called YOLO-CSS. This method designs a novel feature extraction network th...
| 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/PMC10647530/ https://www.ncbi.nlm.nih.gov/pubmed/37763900 http://dx.doi.org/10.3390/mi14091737 |