https://github.com/mapooon/PetFace
PetFace: A Large-Scale Dataset and Benchmark for Animal Identification
Papers with Code 아카이브
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/mathieuorhan/darknet
https://github.com/mayureshpatil30/test-image
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/mdsarfarazulh/face-verification-facenet-mtcnn
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/mdv3101/darknet-yolov3
https://github.com/mengfu188/insightface.bak
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/mic-dkfz/medicaldetectiontoolkit
https://github.com/midhun-em/face_recognition_facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/mike07026/insightface_20190620
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/mindslab-mwc5697/facenet_upload
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/mindspore-ai/models/blob/master/official/cv/retinanet/
https://github.com/mindspore-ai/models/blob/master/research/cv/LightCNN/
https://github.com/mindspore-ai/models/blob/master/research/cv/retinanet_resnet152
https://github.com/mindspore-ai/models/tree/master/official/cv/sphereface
https://github.com/mindspore-ai/models/tree/master/research/cv/arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/minhdua/PHONES
https://github.com/minoring/nin-tf2
https://github.com/mkocabas/focal-loss-keras
https://github.com/mlpocprojects/facenet-poc
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/moallafatma/Breast_Cancer_Detection_Classification
https://github.com/modelhub-ai/arc-face
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/modelhub-ai/network-in-network
https://github.com/mohitwildbeast/Facial-Recognition-Using-FaceNet-Siamese-One-Shot-Learning
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/moron96/FaceRecogLDAP
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/msaadsaeed/sbnet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/mszpc/facenet_ascend
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/mushfiqurrahman250/Face-Recognition-master
https://github.com/musifahamran/FYP
https://github.com/nagadomi/kaggle-cifar10-torch7
https://github.com/namdvt/Focal-loss-pytorch-implementation
https://github.com/neshitov/UNet
https://github.com/nguoido/Yolo-alexeyAB
https://github.com/nhanvu39/ArcFace
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/nhatduy19599/insightface-master
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/njordsir/Clustering-Faces
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/notecola/facenet-light
FaceNet: A Unified Embedding for Face Recognition and Clustering
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.