Papers with Code 아카이브
Face Identification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 5
- 보존된 평가 기록
- 29
Face identification is the task of matching a given face image to one in an existing database of faces. It is the second part of face recognition (the first part being detection). It is a one-to-many mapping: you have to find an unknown person in a database to find who that person is.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yxu0611/tensorflow-implementation-of-lcnn
https://github.com/yytang2012/darknet
https://github.com/zachzhu2016/Spectraface
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/zachzhu2016/thermal-face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/zafartakekh/finddrop
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/zexUlt/facerec
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/zhaoxin111/insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/zhen8838/Circle-Loss
https://github.com/zheng1weiyu/Insightface_for_FaceRecog
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/zhongzisha/object_detection
https://github.com/zj463261929/darknet_mAP
https://github.com/zrui94/insight_mx
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/zuoqing1988/mobile-sphereface-caffe
https://github.com/zzdang/match_fashion
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/zzhuolun/IRL
https://gitlab.com/birder/birder
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.