公开(公告)号：US20220180194A1

公开(公告)日：2022-06-09

申请号：US17598289

申请日：2019-12-06

Applicant: VUNO INC.

Inventor： Woong BAE ,  Byeong-uk BAE ,  Minki CHUNG ,  Beomhee PARK

IPC: G06N3/08 ,  G06K9/62

Abstract: The present disclosure relates to a method for improving reproduction performance of a deep neural network model trained using a group of learning data so that the deep neural network model can exhibit excellent reproduction performance even for target data having a quality pattern different from that of the group, and a device using same. According to the method of the present disclosure, a computing device acquires the target data, retrieves at least one piece of candidate data having a highest similarity to the target data from a learning data representative group including reference data selected from the learning data, performs adaptive pattern transformation on the target data to enable adaptation to the candidate data, and supports transfer of transformed data, which is a result of the adaptive pattern transformation, to the deep neural network model so as to acquire an output value from the deep neural network model.