Papers with Code 아카이브
Face Identification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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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/heorhii-bolotov/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/hh-xiaohu/Image-augementation-pytorch
Training Region-based Object Detectors with Online Hard Example Mining
https://github.com/hhuaibo/darknet
https://github.com/hisiter97/darknet
https://github.com/hqhoangvuong/paperspace_ml_01
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/hqli/face_recognition
https://github.com/hslrock/TripletLoss_Pytorch
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/hukangli/https-github.com-deepinsight-insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/humbleOldSage/Triplet-Loss-for-Personal-dataset
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/huytranvan2010/RetinaNet-Understanding
https://github.com/hweersot/darknet-custom
https://github.com/hyang0129/foodclassapp
https://github.com/iacopomasi/face_specific_augm
https://github.com/ibendrup/MulticolumnNetwork
https://github.com/iitmcvg/Demo-of-face-detection-and-counting-
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/iskandari/darknet
https://github.com/istvanmegyeri/audio_tagging
https://github.com/itanish/Face-Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/ivanwilliammd/I3DR-Net-Transfer-Learning
https://github.com/ivychill/insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/iwasakishuto/DeepScreening
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/jadevaibhav/Signature-verification-using-deep-learning
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/jesperhauch/polynomial_deep_learning
https://github.com/jfc4050/detect-to-track
https://github.com/jfthuong/photo-organizer
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/jiajunhua/facebookresearch-Detectron
https://github.com/jjmachan/DeepHash
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/jndeng/DACSDC-DeepZ
https://github.com/joheras/darknet-colab
https://github.com/jolibrain/caffe
https://github.com/jonathandrnd/Face-Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/joovvhan/ecapa-tdnn
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/jooyounghun/AI-Team-5
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/juergenlandauer/Maya-Challenge
https://github.com/kagami/go-face
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.