Registered
APPARATUS AND METHOD FOR CLASSIFYING CLOTHING ATTRIBUTES BASED ON DEEP LEARNING
- Inventors
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- Application No.
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17496588 (2021.10.07)
- Publication No.
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20230053151 (2023.02.16)
- Registration No.
- 11983248 (2024.05.14)
- Country
- UNITED STATES
- Project Code
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21HS1500, Development of Human-care Robot Technology for Aging Society,
Lee Jae Yeon
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21HS1700, Development of Robot Intelligence Continually Adapting to User Responses in Real Service Environments,
Minsu Jang
- 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.
- KSP Keywords
- Clothing attributes, Generation unit, Mask generation, deep learning(DL)
- Family
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