Defect detection of solar cell based on data augmentation

In this paper, a true and false data fusion algorithm based on deep convolution confrontation generation network and random image Mosaic is proposed, which improves the training data volume by 800 times. At the same time, the network model is optimized with light weight to reduce model training para...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Wang, Yunyan, Luo, Shuai, Wu, Huaxuan
Format: Tagungsbericht
Sprache:eng
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