https://github.com/eewindfly/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
Papers with Code 아카이브
Face Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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Facial Recognition is the task of making a positive identification of a face in a photo or video image against a pre-existing database of faces. It begins with detection - distinguishing human faces from other objects in the image - and then works on identification of those detected faces.
The state of the art tables for this task are contained mainly in the consistent parts of the task : the face verification and face identification tasks.
<span style="color:grey; opacity: 0.6">( Image credit: Face Verification )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/egeoguzman/Liveness-Detection-Siamese
Face Liveness Detection Based on Client Identity Using Siamese Network
https://github.com/eric-erki/insightface
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
https://github.com/espectre/GCNs_on_imbalanced_datasets
https://github.com/evtimovi/foggysight
https://github.com/feiyunzhang/person_attribute_mxnet
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes
https://github.com/felipeyanez/nmf
Primal-Dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence
https://github.com/fengju514/Expression-Net
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
https://github.com/ffletcherr/face-recognition-liveness
Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
https://github.com/ffr4nz/UnknownUnknowns
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/flora-zyx/SJNet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/flytocc/PaddleClas
https://github.com/fnyanez/nmf
Primal-Dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence
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/foamliu/MobileFaceNet
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
https://github.com/foivospar/Arc2Face
https://github.com/fpleoni/its_all_in_the_family
FaceNet: A Unified Embedding for Face Recognition and Clustering
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/genforce/fairgen
Improving the Fairness of Deep Generative Models without Retraining
https://github.com/gengler1123/Triplet_Loss_Demo
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/gmlunesa/detectfacemask
https://github.com/godofpdog/MobileFaceNet_keras
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/gregoiredervaux/face_recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/guppykang/joshFaceV2
https://github.com/hakaneroztekin/face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/happynear/AMSoftmax
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/hardik-uppal/CNN-fusion-networks
Two-Level Attention-based Fusion Learning for RGB-D Face Recognition
https://github.com/heorhii-bolotov/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.