Papers with Code 아카이브
Face Identification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 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/18alantom/identify
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/18alantom/smel_project
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/1996scarlet/ArcFace-Multiplex-Recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/2023-MindSpore-1/ms-code-18/tree/main/LightCNN
https://github.com/2023-MindSpore-1/ms-code-211/tree/main/DeepID
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/FaceNet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/retinanet_resnet101
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/retinanet_resnet152
https://github.com/2023-MindSpore-1/ms-code-223/tree/main/RetinaNet
https://github.com/2023-MindSpore-1/ms-code-44
https://github.com/2023-MindSpore-4/Code-5/tree/main/LightCNN
https://github.com/2023-MindSpore-4/Code1/tree/main/Arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/2023-MindSpore-4/Code10/tree/main/Arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/2023-MindSpore-4/Code10/tree/main/RetinaNet
https://github.com/2023-MindSpore-4/Code11/tree/main/retinanet_resnet101
https://github.com/2023-MindSpore-4/Code11/tree/main/sphereface
https://github.com/2023-MindSpore-4/Code2/tree/main/DeepID
https://github.com/2023-MindSpore-4/Code7/tree/main/sphereface
https://github.com/2023-MindSpore-4/Code7/tree/main/squeezenet
https://github.com/2024-MindSpore-1/Code4/tree/main/Arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/2024-MindSpore-1/Code4/tree/main/RetinaFace_ResNet50
https://github.com/2024-MindSpore-1/Code4/tree/main/RetinaNet
https://github.com/394781865/insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/3P2S/arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/497626895/darknet
https://github.com/Abdelhamid-bouzid/Deep-metric-learning
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Adarsh79/Face-Recognition-with-Facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AdeelH/pytorch-multi-class-focal-loss
https://github.com/AdrianUng/keras-triplet-loss-mnist
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Agrover112/SiameseNet-Search
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AlexeyAB/darknet
https://github.com/AmrTarekk/Attendence-system-using-Facial-Recognition-
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Ander02/FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Anil1331/Facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Armxyz1/Results-on-RFW
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.