公开(公告)号：US20230122553A1

公开(公告)日：2023-04-20

申请号：US17591445

申请日：2022-02-02

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Seung Jae LEE ,  Su Woong LEE ,  Yong Sik LEE ,  Ju Won LEE ,  Da Un JUNG ,  Jong Gook KO ,  Won Young YOO

IPC: G06F30/13 ,  G06F30/12

Abstract: The present invention relates to an apparatus and method for drawing, the method comprising: inputting a drawing image; recognizing a component in the input drawing image; inferring a structure of an object based on the recognized component; and drawing the inferred structure of the object.

公开(公告)号：US20220012589A1

公开(公告)日：2022-01-13

申请号：US17370585

申请日：2021-07-08

Applicant: Electronics and Telecommunications Research Institute

Inventor： Jung Jae YU ,  Jong Gook KO ,  Won Young YOO ,  Keun Dong LEE ,  Su Woong LEE ,  Seung Jae LEE ,  Yong Sik LEE ,  Da Un JUNG

IPC: G06N3/08 ,  G06N3/063 ,  G06K9/62

Abstract: A data learning device in a deep learning network characterized by a high image resolution and a thin channel at an input stage and an output stage and a low image resolution and a thick channel in an intermediate deep layer includes a feature information extraction unit configured to extract global feature information considering an association between all elements of data when generating an initial estimate in the deep layer; a direct channel-to-image conversion unit configured to generate expanded data having the same resolution as a final output from the generated initial estimate of the global feature information or intermediate outputs sequentially generated in subsequent layers; and a comparison and learning unit configured to calculate a difference between the expanded data generated by the direct channel-to-image conversion unit and a prepared ground truth value and update network parameters such that the difference is decreased.