公开(公告)号：US20230153572A1

公开(公告)日：2023-05-18

申请号：US17971204

申请日：2022-10-21

Applicant: NEC Laboratories America, Inc.

Inventor： Masoud Faraki ,  Yi-Hsuan Tsai ,  Xiang Yu ,  Samuel Schulter ,  Yumin Suh ,  Christian Simon

IPC: G06N3/04 ,  G06N3/08

CPC classification number: G06N3/04 ,  G06N3/082

Abstract: A computer-implemented method for model training is provided. The method includes receiving, by a hardware processor, sets of images, each set corresponding to a respective task. The method further includes training, by the hardware processor, a task-based neural network classifier having a center and a covariance matrix for each of a plurality of classes in a last layer of the task-based neural network classifier and a plurality of convolutional layers preceding the last layer, by using a similarity between an image feature of a last convolutional layer from among the plurality of convolutional layers and the center and the covariance matrix for a given one of the plurality of classes, the similarity minimizing an impact of a data model forgetting problem.