등록
겉옷과 안옷을 겹쳐입을때 겉옷을 효과적으로 분류하기 위한 의상 속성 인식용 심층신경망 학습 방법
- 발명자
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- 출원번호
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17496588 (2021.10.07)
- 공개번호
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20230053151 (2023.02.16)
- 등록번호
- 11983248 (2024.05.14)
- 출원국
- 미국
- 협약과제
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21HS1500, 고령 사회에 대응하기 위한 실환경 휴먼케어 로봇 기술 개발,
이재연
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21HS1700, 실환경 서비스 상황에서 사용자 반응에 지속적으로 지역(Local) 적응하는 로봇 지능 기술 개발,
장민수
- 초록
- 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.
- KSP 제안 키워드
- Clothing attributes, Generation unit, Mask generation, deep learning(DL)
- 패밀리
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