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:
May. 14, 2024

Filed:

Oct. 07, 2021
Applicant:

Electronics and Telecommunications Research Institute, Daejeon, KR;

Inventors:

Chan-Kyu Park, Daejeon, KR;

Do-Hyung Kim, Daejeon, KR;

Jae-Hong Kim, Daejeon, KR;

Jae-Yeon Lee, Daejeon, KR;

Min-Su Jang, Daejeon, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/2431 (2023.01); G06F 18/20 (2023.01); G06F 18/214 (2023.01); G06F 18/25 (2023.01); G06N 3/08 (2023.01); G06T 3/4046 (2024.01); G06T 7/11 (2017.01); G06V 10/44 (2022.01); G06V 10/94 (2022.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06F 18/2431 (2023.01); G06F 18/214 (2023.01); G06F 18/254 (2023.01); G06F 18/285 (2023.01); G06N 3/08 (2013.01); G06T 3/4046 (2013.01); G06T 7/11 (2017.01); G06V 10/449 (2022.01); G06V 10/95 (2022.01); G06V 40/10 (2022.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Disclosed herein are an apparatus and method for classifying clothing attributes based on deep learning. The apparatus includes memory for storing at least one program and a processor for executing the program, wherein the program includes a first classification unit for outputting a first classification result for one or more attributes of clothing worn by a person included in an input image, a mask generation unit for outputting a mask tensor in which multiple mask layers respectively corresponding to principal part regions obtained by segmenting a body of the person included in the input image are stacked, a second classification unit for outputting a second classification result for the one or more attributes of the clothing by applying the mask tensor, and a final classification unit for determining and outputting a final classification result for the input image based on the first classification result and the second classification result.


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