37 citations · 37 across the 2 of their papers we have counts for
2 papers
cs.CV2022
Few-shot incremental learning in the context of solar cell quality inspection
Julen Balzategui, Luka Eciolaza
In industry, Deep Neural Networks have shown high defect detection rates surpassing other more traditional manual feature engineering based proposals. This has been achieved mainly…
cs.CV2021★ 37 cited
Anomaly detection and automatic labeling for solar cell quality inspection based on Generative Adversarial Network
Julen Balzategui, Luka Eciolaza, Daniel Maestro-Watson
Quality inspection applications in industry are required to move towards a zero-defect manufacturing scenario, withnon-destructive inspection and traceability of 100 % of produced…