Papers with Code 아카이브
Face Identification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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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/solapark/darknet_interpark
https://github.com/solapark/darknet_partdet
https://github.com/solapark/darknet_partdet_tmp
https://github.com/soumik12345/Nearest-Celebrity-Face
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/srihari-humbarwadi/retinanet-tensorflow2.x
https://github.com/srihari-humbarwadi/tensorflow_retinanet
https://github.com/srilakshmiv14/FaceNet_Pytorch
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/stevenzhou2017/darknet_AlexeyAB
https://github.com/stevexwu/face_brightness
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/sudhanshu2k/Signature-Verification
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/sudharavali/objectDetectionYOLO
https://github.com/sulasen/race-events-recognition-1
https://github.com/sumathi16/FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/sunil-rival/insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
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/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/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
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.