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/sunil-rival/insightface
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/suruoxi/DistanceWeightedSampling
https://github.com/susmith98/Face_Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/suyash0612/face_recognitionandverification
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/swghosh/DeepFace
https://github.com/taekwan-lee/Virtual-Softmax-TF
https://github.com/tallysprado/myDarknet
https://github.com/tamerthamoqa/facenet-pytorch-glint360k
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/tamnil/esp32-xtensa-study
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/taylorlu/ghostvlad-speaker
https://github.com/tbmoon/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/teemoeric/projet
https://github.com/tensorflow/models
https://github.com/thongdk8/realtime-facereccpp
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/tianhai123/yolov3
https://github.com/timesler/facenet-pytorch
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/tkuanlun350/Kaggle_Ship_Detection_2018
Training Region-based Object Detectors with Online Hard Example Mining
https://github.com/tomas-gajarsky/facetorch
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/toufiksk/darknet
https://github.com/trachpro/arcface-tf2
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/trachpro/insightFace_v2
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/travismyers19/Vulnerable_Buildings
https://github.com/trongnghia00/darknet
https://github.com/tryolabs/luminoth
https://github.com/tuyentv2009/Face-Recognition-
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/unsky/RetinaNet
https://github.com/unsky/focal-loss
https://github.com/vantupham/darknet
https://github.com/viethungluu/OCRetina
https://github.com/vinayakkailas/Face_Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/vincenthanna/facenet_on_mnist
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/vitoralbiero/face_analysis_pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/vladimirwest/insightface_cinematic
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/vnbot2/arcface
https://github.com/vohoaiviet/sphereface
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.