Data-Efficient Semiconductor Wafer Defect Identification Using WGAN-GP Augmentation and Lightweight Deep Convolutional Networks
A data-efficient wafer defect classification framework that integrates generative data augmentation with lightweight deep learning models that enables reliable wafer defect classification in data-constrained manufacturing environments, making it well suited for deployment in resource-limited semiconductor fabrication f...