公开(公告)号：US20230053151A1

公开(公告)日：2023-02-16

申请号：US17496588

申请日：2021-10-07

Applicant: Electronics and Telecommunications Research Institute

Inventor： Chan-Kyu PARK ,  Do-Hyung KIM ,  Jae-Hong KIM ,  Jae-Yeon LEE ,  Min-Su JANG

IPC: G06K9/62 ,  G06K9/00 ,  G06T7/11 ,  G06K9/46 ,  G06T3/40 ,  G06N3/08

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.