Current Result Document :
| 한글제목(Korean Title) |
공간 비대칭 어텐션 기법을 활용한 실세계 스푸핑 방지 |
| 영문제목(English Title) |
Learning real-world anti-spoofing leveraging spatialasymmetric attention |
| 저자(Author) |
S M A Sharif
김성준
박상민
S M A Sharif
SungJun Kim
SangMin Park
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| 원문수록처(Citation) |
VOL 49 NO. 02 PP. 0556 ~ 0558 (2022. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Face anti-spoofing (FAS) consider one of the most crucial attributes of a secure face recognition system. This study proposes a novel FAS method to handle real-world spoofing attacks. Our method comprises a deep network with spatial-asymmetric attention to refine extracted features of a VGG-16-based backbone to outperform existing methods. Also, we collected a real-world RGB spoof dataset to learn and evaluate real-world spoofing attacks. The experiment analysis demonstrates that the proposed method can substantially enhance spoof detection in real-world scenarios without incorporating specialized hardware. |
| 키워드(Keyword) |
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| 파일첨부 |
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