公开(公告)号：US20220366669A1

公开(公告)日：2022-11-17

申请号：US17538555

申请日：2021-11-30

Applicant: Korea Advanced Institute Of Science And Technology

Inventor： Sung-Eui YOON ,  Woobin IM ,  Tae Kyun KIM

IPC: G06V10/74 ,  G06V10/80 ,  G06N20/00

Abstract: Various example embodiments provide a computer system of unsupervised learning with deep similarity for optical flow estimation and a method thereof. According to various example embodiments, the computer system may be configured to calculate deep similarity by using deep features extracted from a sequence of a plurality of images, and learn optical flow for the images based on the deep similarity. In other words, the computer system may learn deep learning model for estimating optical flow through unsupervised learning based on deep similarity for a sequence of a plurality of images. At this time, the computer system may learn optical flow by using a feature separation loss function obtained by dividing occlusion locations and non-occlusion locations on the deep similarity map.