公开(公告)号：US20240062515A1

公开(公告)日：2024-02-22

申请号：US18260461

申请日：2021-11-09

Applicant: VUNO Inc.

Inventor： Hyunwoo OH ,  Sejin PARK ,  Eunpyeong HONG ,  Dongsoo LEE

IPC: G06V10/764 ,  G06N3/042 ,  G06N3/045 ,  G06T7/00 ,  G06V10/40 ,  G06V10/766 ,  G06V10/776 ,  G06V10/82

CPC classification number: G06V10/764 ,  G06N3/042 ,  G06N3/045 ,  G06T7/0012 ,  G06V10/40 ,  G06V10/766 ,  G06V10/776 ,  G06V10/82 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30016 ,  G06V2201/031

Abstract: According to an exemplary embodiment of the present disclosure, a method for classification by using a deep learning model, the method being performed by a computing device, is disclosed. The method may include: extracting a feature vector interpretable based on domain knowledge by inputting an image including at least one object of interest into a first neural network of a deep learning model; and estimating a probability value corresponding to a classification task by inputting the feature vector into a second neural network of the deep learning model. In this case, the deep learning model may be pre-trained based on a loss function having an output value of the first neural network and an output value of the second neural network as input variables.