Face Identification
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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/edwardclem/deepscribe
https://github.com/eewindfly/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/eric-erki/darknet
https://github.com/eric-erki/insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/eric-erki/yolov3
https://github.com/eric-mitchell/mend
https://github.com/eric-mitchell/serac
https://github.com/ermuur/darknet
https://github.com/fabiofumarola/ultrayolo
https://github.com/facebookresearch/detectron2
https://github.com/feidfoe/AdjustBnd4Imbalance
https://github.com/fengju514/Expression-Net
https://github.com/ffr4nz/UnknownUnknowns
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/fizyr/keras-retinanet
https://github.com/flora-zyx/SJNet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/foamliu/Gaze-Estimation
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/foamliu/InsightFace-PyTorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/foamliu/InsightFace-v2
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/foamliu/InsightFace-v3
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/fpleoni/its_all_in_the_family
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/fznsakib/great-ape-behaviour-detector
https://github.com/gary-kaitung/data-science-portfolio
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/gcastex/PruNet
https://github.com/gengler1123/Triplet_Loss_Demo
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/ghadahamed/darknet
https://github.com/ghaniskn/GCorp-Darknet
https://github.com/godofpdog/MobileFaceNet_keras
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/gokulprasadthekkel/pytorch-multi-class-focal-loss
https://github.com/gregoiredervaux/face_recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/guppykang/joshFaceV2
https://github.com/gyes00205/waymo_tf_object_detection
https://github.com/haithink/myWindowsDarknet
https://github.com/haiyuwu/facebrightness
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/hakaneroztekin/face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/hamzaMahdi/darknet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.