Papers with Code 아카이브
Face Identification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 5
- 보존된 평가 기록
- 29
Face identification is the task of matching a given face image to one in an existing database of faces. It is the second part of face recognition (the first part being detection). It is a one-to-many mapping: you have to find an unknown person in a database to find who that person is.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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
https://github.com/vuongtrannguyenkhoi/darknet
https://github.com/vvictoryuki/freedom
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/wangshanmin/interface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/wangxianhao/Improved-YOLOv3-for-UAV
https://github.com/williamccondori/YOLO-NFPA
https://github.com/witwickey/darknet
https://github.com/wodyjowski/colab-training
https://github.com/wondonghyeon/face-classification
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/wujiyang/Face_Pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/xiamenwcy/extended-caffe
https://github.com/xuanyuzhou98/SqueezeSeg
https://github.com/xytpai/retinanet
https://github.com/yangyucheng000/Paper-2/tree/main/ARCM-main
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/yangyucheng000/Paper-4/tree/main/LADS-mindspore
LAD-RCNN:A Powerful Tool for Livestock Face Detection and Normalization
https://github.com/yangyucheng000/papercode-2/tree/main/LADS-mindspore
LAD-RCNN:A Powerful Tool for Livestock Face Detection and Normalization
https://github.com/yangyucheng000/sphereface
https://github.com/yehengchen/FaceNet-FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/yehengchen/FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/yehengchen/FaceRecognition-FaceNet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/yehengchen/SmartCar-FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/yellowfighter2333/ticket-machine-with-face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/yellowfighter2333/ticket-mechine-with-face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/yhenon/pytorch-retinanet
https://github.com/yijiaceline/Final-Project-Group4
https://github.com/yiningzeng/darknet-fork-from-AlexeyAB
https://github.com/yudie433/darknet
https://github.com/yuliani29/yolotraining
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.