https://github.com/khrlimam/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
Papers with Code 아카이브
Face Verification
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Face Verification is a machine learning task in computer vision that involves determining whether two facial images belong to the same person or not. The task involves extracting features from the facial images, such as the shape and texture of the face, and then using these features to compare and verify the similarity between the images.
<span style="color:grey; opacity: 0.6">( Image credit: Pose-Robust Face Recognition via Deep Residual Equivariant Mapping )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/khyeyoon/face_recognition
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/kongzhiyou/darknet-master
https://github.com/kooBH/facenet_verification
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/kornia/kornia
https://github.com/krantirk/Face-detection-and-counting-
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/ktjonsson/keras-ArcFace
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/kuaikuaikim/DFace
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/kuangliu/pytorch-fpn
https://github.com/kvijaykrish/Bosch_AI_VehicleClassification
https://github.com/kyunghwan/darknet_v3
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/lhcezx/Graph-FPN
https://github.com/li-yibing/oceannet
https://github.com/linghu8812/pytorch_insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/liuf1990/CFSM
Controllable and Guided Face Synthesis for Unconstrained Face Recognition
https://github.com/liyemei/Deformable-active-convolutional
https://github.com/llSeedll/Facial-Recognition-using-Facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/llsouder/screen-ocr
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/lyk19940625/MyRFBNet
https://github.com/lzx551402/ASLFeat
Circle Loss: A Unified Perspective of Pair Similarity Optimization
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/magnificent1208/r3det-on-mmdetection
https://github.com/mahathi26/ciss
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.