International Business Machines Corporation
DEFECT DETECTION USING MULTIPLE MODELS

Abstract:

A method for generating training models includes generating a preliminary training model based on a group of first images, the first images including different types of objects; processing a group of second images with the preliminary model to generate a probability array for each of the second images, the probability array indicating likelihoods that an object is a particular type of object; generating correlations between the different types of objects based on the probability arrays; generating a plurality of object groups based on the correlations, where each object group includes a plurality of different types of objects that have a relatively low correlation with the other types of objects in the same object group; and for each object group, generating a final training model based on a group of third images, the third images each including an object having an object type corresponding to one of the object types.