公开(公告)号：US20230368016A1

公开(公告)日：2023-11-16

申请号：US17973408

申请日：2022-10-25

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Hyun MYUNG ,  Sungwon HWANG

IPC: G06N3/08 ,  G06V10/82

CPC classification number: G06N3/08 ,  G06V10/82

Abstract: Disclosed are a method and apparatus for learning equivariant and invariant representations for rotation of an image based on a graph convolutional network. The method of learning an equivariant and invariant representation for rotation of an image based on a graph convolutional network performed by a computer device includes learning an equivariant representation for rotation of an image by using a self-weighted nearest neighbors graph convolutional network (SWN-GCN); and finally obtaining the equivariant representation for the rotation of the image obtained from the self-weighted nearest neighbors graph convolutional network as an invariant representation of the rotation of the image by using permutation invariance of global average pooling (GAP).