Wafer Map Defect Classification Using Autoencoder-Based Data Augmentation and Convolutional Neural Network

Yin-Yin Bao, Er-Chao Li, Hong-Qiang Yang +1

In semiconductor manufacturing, wafer defect maps (WDMs) play a crucial role in diagnosing issues and enhancing process yields by revealing critical defect patterns. However, accur…