Accuracy: 0.9835
Papers with Code · CC BY-SA 4.0
Face Verification
Face Verification is a machine learning task in computer vision that involves determining whether two facial images belong to the same person or not. The task involves extracting features from the facial images, such as the shape and texture of the face, and then using these features to compare and verify the similarity between the images.
<span style="color:grey; opacity: 0.6">( Image credit: Pose-Robust Face Recognition via Deep Residual Equivariant Mapping )</span>
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
벤치마크
Papers with Code 아카이브의 데이터셋별 기록 예시입니다. 평가 조건과 지표 방향이 검증되지 않아 순위를 의미하지 않습니다.
데이터셋
23개논문
TAR @ FAR=0.01: 97.60%
Accuracy: 0.9862
TAR @ FAR=0.01: 97.2%
TAR @ FAR=0.01: 94.60%
Accuracy: 0.9870
TAR @ FAR=0.01: 97%
TAR @ FAR=0.01: 94.40%
TAR @ FAR=0.01: 97.5%TAR @ FAR=0.001: 95.25
Accuracy: 0.9815
Accuracy: 0.97333
TAR @ FAR=0.01: 96.8%TAR @ FAR=0.001: 92.1TAR @ FAR=0.1: 0.99
라이브러리
Papers with Code 리더보드 row에 연결된 구현 저장소입니다.