Papers with Code 아카이브
Face Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 25
- 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/mindspore-ai/models/tree/master/research/cv/arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/mlpocprojects/facenet-poc
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/mlu355/MetadataNorm
Representation Learning with Statistical Independence to Mitigate Bias
https://github.com/modelhub-ai/arc-face
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/mohammadimathstar/grlgq
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/mrpintime/Face-Liveness-TensorFlow
Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
https://github.com/mrw-soumik/Tiny-Faces-in-Tensorflow
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/mundanePeo/faceRecognition
https://github.com/mushfiqurrahman250/Face-Recognition-master
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/nanzhaogang/contrib/tree/master/application/circle-loss
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/neverUseThisName/Decorrelated-Adversarial-Learning
Decorrelated Adversarial Learning for Age-Invariant Face Recognition
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/nodefluxio/automatic-masking-master
https://github.com/notecola/facenet-light
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/nova26/facePoseEstimation
https://github.com/nu11us/WC-MS-Celeb
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
https://github.com/oarriaga/paz
https://github.com/obj2vec/obj2vec
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/oktapodi/ps_resNet
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/olgi9911/MMDG
Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-Spoofing
https://github.com/omrijsharon/torchlex
https://github.com/opencv/opencv_zoo/tree/master/models/face_recognition_sface
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
https://github.com/ozora-ogino/LCNN
https://github.com/papermsucode/2020bboxrestoration
https://github.com/paradocx/LARNet
https://github.com/parvatijay2901/FaceNet_FR
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/patrick-batman/Angular-Knowledge-Distillation
ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks
https://github.com/pedrobvidal/insightface
https://github.com/penincillin/DREAM
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.