Unsupervised and few-shot segmentation in photovoltaic electroluminescence images for defect detection <i>via</i> a novel enhanced iterative autoencoder with simple implementation

PVEL images are particularly valuable for ML-based automated fault detection. A novel EI-AE incorporates an iterative mechanism into the conventional AE framework, providing simple, effective unsupervised pixel-level defect segmentation.