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Semi-Supervised Defect Detection Method with Data-Expanding Strategy for PCB Quality Inspection
Printed circuit board (PCB) defect detection plays a crucial role in PCB production, and the popular methods are based on deep learning and require large-scale datasets with high-level ground-truth labels, in which it is time-consuming and costly to label these datasets. Semi-supervised learning (SS...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611715/ https://www.ncbi.nlm.nih.gov/pubmed/36298322 http://dx.doi.org/10.3390/s22207971 |