https://github.com/FaceOnLive/Face-Recognition-SDK-Android
FaceNet: A Unified Embedding for Face Recognition and Clustering
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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/Faceplugin-ltd/FaceLivenessDetection-Android
Face Flashing: a Secure Liveness Detection Protocol based on Light Reflections
https://github.com/Faceplugin-ltd/FaceRecognition-Android
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/FrancoisMasson1990/Siamese_Network
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Fugu-Lin/facenet_pytorch
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/GXYM/Focal-loss
https://github.com/GangmingZhao/GraphFPN-Graph-Feature-Pyramid-Network-for-Object-Detection
https://github.com/Gryffindor112358/Arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/Guillem96/efficient-net-tf
https://github.com/Guillem96/efficientdet-tf
https://github.com/GuoQuanhao/RetinaFace-Paddle
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/GurpartapSS/Realtime_FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/HamadYA/GhostFaceNets
https://github.com/Hamiltonsjtu/based_on_facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Hayashi-Yudai/ML_models
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/Hazqeel09/ellzaf_ml
https://github.com/HongSic/DarknetAI
https://github.com/IPLI/IPLI_Server
https://github.com/IQTLabs/Pytorch_Retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/IcewineChen/mxnet-batch_hard_triplet_loss
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/IlyaOvodov/AngelinaReader
https://github.com/IsharaSandun/Face-Recognition-using-python
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/JDAI-CV/fast-reid
Partial FC: Training 10 Million Identities on a Single Machine
https://github.com/Jagannathrk2020/Face-detection-and-counting-
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/JaryHuang/awesome_SSD_FPN_GIoU
https://github.com/Jo-dsa/SemanticSeg
https://github.com/Johnny952/retinaface_mod
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/JoseLGP/FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/KSolves-ML/Face-Reco-Flask
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/KarthikBalakrishnan11/Face_Recognition_FaceNet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/KingBoyBIT/yolov3test
https://github.com/KrenAnastasiya/face_recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/LIU1514/Yolov3-
https://github.com/LKLQQ/FaceNet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Ldpe2G/PCANet
PCANet: A Simple Deep Learning Baseline for Image Classification?
https://github.com/LinRiver/Realtime_facedetection
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.