公开(公告)号：US11983248B2

公开(公告)日：2024-05-14

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: G06F18/2431 ,  G06F18/20 ,  G06F18/214 ,  G06F18/25 ,  G06N3/08 ,  G06T3/4046 ,  G06T7/11 ,  G06V10/44 ,  G06V10/94 ,  G06V40/10

CPC classification number: G06F18/2431 ,  G06F18/214 ,  G06F18/254 ,  G06F18/285 ,  G06N3/08 ,  G06T3/4046 ,  G06T7/11 ,  G06V10/449 ,  G06V10/95 ,  G06V40/10 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30196

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.