한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2020년도 춘계학술발표대회
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- Pages.483-486
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- 2020
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
임베디드 시스템을 위한 멀티태스킹 딥러닝 학습 기반 경량화 성별/연령별 추정
A light-weight Gender/Age Estimation model based on Multi-taking Deep Learning for an Embedded System
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- 정선태
- Bao, Huy-Tran Quoc (Dept. of Information and Telecommunication, Soongsil University) ;
- Chung, Sun-Tae (Dept. of Smart System Software, Soongsil University)
- 발행 : 2020.05.29
초록
Age estimation and gender classification for human is a classic problem in computer vision. Almost research focus just only one task and the models are too heavy to run on low-cost system. In our research, we aim to apply multitasking learning to perform both task on a lightweight model which can achieve good precision on embedded system in the real time.
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