Papers with Code 아카이브
Face Identification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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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/anookeen/yolo
https://github.com/anuj-anuj/face-similarity
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/aobaruwa/TensorFlow-Projects
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/apaz-cli/ML-ImageHash
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/aporw/Class-Attendance-Tool--Face-Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/arsfutura/face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/artemmavrin/focal-loss
https://github.com/artxtech/darknet-rnn
https://github.com/artynet/darknet-alexeyAB
https://github.com/asmadotgh/unc-net
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/ayushpalak/darknet_cokebottles
https://github.com/ayushpalak/darknet_multi_cokebottles
https://github.com/benihime91/pytorch_retinanet
https://github.com/bergerda1/PiFaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/bethelhall/smart-attendance-system
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/bharatsush/object_detection
https://github.com/bhavinjawade/ProxyFusion-NeurIPS
https://github.com/bhavinjawade/proxyfusion
https://github.com/bielcarvalho/RPII-EP
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/bingxinhu/arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/binhdv92/darknet
https://github.com/binhdv92/darknet_kriyeng
https://github.com/bobby20180331/darknet_pycharm
https://github.com/bruceeeee/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/buptdbj/darknet-windows-linux
https://github.com/busyboxs/Some-resources-useful-for-me
Training Region-based Object Detectors with Online Hard Example Mining
https://github.com/caihaocong/Yolov3_AlexeyAB_Version
https://github.com/cameronchoi/r3det-copy
https://github.com/cchinchristopherj/Right-Whale-Unsupervised-Model
https://github.com/cfl0122/face
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/chenggongliang/arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/chenyeheng/SmartCar
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/chenyeheng/SmartCar-FaceRec
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/chenyeheng/SmartCar-FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/chrisqqq123/FA-Dist-EfficientNet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.