The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 10, 2024

Filed:

Oct. 27, 2021
Applicant:

Korea Electronics Technology Institute, Seongnam-si, KR;

Inventors:

Choong Sang Cho, Seongnam-si, KR;

Young Han Lee, Yongin-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06F 18/21 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06V 10/75 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 18/2163 (2023.01); G06F 18/217 (2023.01); G06N 3/045 (2023.01); G06T 7/11 (2017.01); G06V 10/751 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

There are provided a method and a system for image segmentation utilizing a GAN architecture. A method for training an image segmentation network according to an embodiment includes: inputting an image to a first network which is trained to output a region segmentation result regarding an input image, and generating a region segmentation result; and inputting the region segmentation result generated at the generation step and a ground truth (GT) to a second network, and acquiring a discrimination result, the second network being trained to discriminate inputted region segmentation results as a result generated by the first network and a GT, respectively; and training the first network and the second network by using the discrimination result. Accordingly, region segmentation performance of a semantic segmentation network regarding various images can be enhanced, and a very small image region can be exactly segmented.


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