Marco Mauri

Parameter-Efficient Adaptation of Visual Foundation Model for Wafer Map Defect Classification

As semiconductor manufacturing becomes increasingly complex, the fast and accurate classification of spatial failure patterns in wafer maps has become a key enabler for economic efficiency, supporting timely corrective actions in process control and equipment management. While Deep Convolutional Neural Networks (CNNs)...