A Novel Contrastive Self-Supervised Learning Framework for Solving Data Imbalance in Solder Joint Defect Detection

Poor chip solder joints can severely affect the quality of the finished printed circuit boards (PCBs). Due to the diversity of solder joint defects and the scarcity of anomaly data, it is a challenging task to automatically and accurately detect all types of solder joint defects in the production pr...

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Detalles Bibliográficos
Autores principales: Zhou, Jing, Li, Guang, Wang, Ruifeng, Chen, Ruiyang, Luo, Shouhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954869/
https://www.ncbi.nlm.nih.gov/pubmed/36832635
http://dx.doi.org/10.3390/e25020268

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954869/
https://www.ncbi.nlm.nih.gov/pubmed/36832635
http://dx.doi.org/10.3390/e25020268

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