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Global contextual attention augmented YOLO with ConvMixer prediction heads for PCB surface defect detection
To solve the problem of missed and false detection caused by the large number of tiny targets and complex background textures in a printed circuit board (PCB), we propose a global contextual attention augmented YOLO model with ConvMixer prediction heads (GCC-YOLO). In this study, we apply a high-res...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276043/ https://www.ncbi.nlm.nih.gov/pubmed/37328545 http://dx.doi.org/10.1038/s41598-023-36854-2 |