Automatic defect segmentation by unsupervised anomaly learning

Nati Ofir, Ran Yacobi, Omer Granoviter +2

This paper addresses the problem of defect segmentation in semiconductor manufacturing. The input of our segmentation is a scanning-electron-microscopy (SEM) image of the candidate…