Papers with Code 아카이브
Face Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 25
- 보존된 평가 기록
- 88
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/laoshiwei/face-anti-spoofing
Exploiting temporal and depth information for multi-frame face anti-spoofing
https://github.com/larsoncs/face_detect
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/layumi/Person_reID_baseline_pytorch
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/leoluopy/GroupFacePytorch
GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition
https://github.com/leondgarse/Keras_insightface
MagFace: A Universal Representation for Face Recognition and Quality Assessment
https://github.com/letthedataconfess/Keras-triplet-loss-mnist
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/levindaniil/FaceNet_FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/likelyzhao/peron_attribute
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes
https://github.com/linghu8812/pytorch_insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/linghu8812/tensorrt_tracker
FastReID: A Pytorch Toolbox for General Instance Re-identification
https://github.com/liuf1990/CFSM
Controllable and Guided Face Synthesis for Unconstrained Face Recognition
https://github.com/llSeedll/Facial-Recognition-using-Facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/longchr123/insightface-analysis
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/lsaiml/CaVINet
Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet)
https://github.com/lucasleesw/PCANet_python_ver
PCANet: A Simple Deep Learning Baseline for Image Classification?
https://github.com/luckycallor/insightface-tensorflow
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/lyatdawn/lightcnn-mxnet
https://github.com/lyp-deeplearning/awesome-retinal-registration
https://github.com/lzx551402/ASLFeat
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/m-kahla/Label-Only-Model-Inversion-Attacks-via-Boundary-Repulsion
https://github.com/ma921/XRDidentifier
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations
https://github.com/ma9o/facematch
https://github.com/madhavambati/Face-Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/mahathi26/ciss
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/malin9402/2020-0221
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/malin9402/retiface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
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/melgor/pyface
https://github.com/mengfu188/insightface.bak
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
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-ai/hififace
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
https://github.com/mindslab-mwc5697/facenet_upload
https://github.com/mindspore-ai/models/blob/master/research/cv/LightCNN/
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.