公开(公告)号：US20200242399A1

公开(公告)日：2020-07-30

申请号：US16774721

申请日：2020-01-28

Applicant: FUJITSU LIMITED

Inventor： TAKASHI KATOH ,  Kazuki IWAMOTO ,  Kento UEMURA ,  Suguru YASUTOMI

IPC: G06K9/62 ,  G06T7/00 ,  G06N20/00

Abstract: An anomaly detection apparatus generates pieces of image data using a generator and train the generator and a discriminator that discriminates whether an image data, generated by the generator, is real or fake. The anomaly detection apparatus trains the generator such that the generator, in generating the pieces of image data to maximize the discrimination error of the discriminator, generate at least a piece of specified image data to reduce the discrimination error at a fixed rate with respect to the pieces of image data and trains, based on the pieces of image data and the at least a piece of specified image data, the discriminator to minimize the discrimination error.

公开(公告)号：US20200242412A1

公开(公告)日：2020-07-30

申请号：US16774100

申请日：2020-01-28

Applicant: FUJITSU LIMITED

Inventor： TAKASHI KATOH ,  Kazuki IWAMOTO ,  Kento UEMURA ,  Suguru YASUTOMI

IPC: G06K9/62 ,  G06T7/00 ,  G06N20/00 ,  G16H30/40

Abstract: An anomaly detection apparatus performs training for the generator and the discriminator such that the generator maximizes a discrimination error of the discriminator and the discriminator minimizes the discrimination error The anomaly detection apparatus stores, while the training is being performed, a state of the generator that is half-trained and satisfies a pre-set condition, and retrains the discriminator by using an image generated by the half-trained generator that has the stored state.