https://github.com/yangyucheng000/papercode-2/tree/main/LADS-mindspore
LAD-RCNN:A Powerful Tool for Livestock Face Detection and Normalization
Papers with Code 아카이브
Face Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 25
- 보존된 평가 기록
- 88
Facial Recognition is the task of making a positive identification of a face in a photo or video image against a pre-existing database of faces. It begins with detection - distinguishing human faces from other objects in the image - and then works on identification of those detected faces.
The state of the art tables for this task are contained mainly in the consistent parts of the task : the face verification and face identification tasks.
<span style="color:grey; opacity: 0.6">( Image credit: Face Verification )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yangyucheng000/sphereface
https://github.com/ycxioooong/MovieSynopsisAssociation
Unifying Identification and Context Learning for Person Recognition
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/yfeng95/deca
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/yh-iro/Keras-TP-GAN
https://github.com/yifeizhou02/bt-2
https://github.com/yoshitomo-matsubara/torchdistill
https://github.com/ypeleg/komplex
https://github.com/yubangji123/Interpret_FR
https://github.com/yujiacheng333/CircleLossMNIST
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/yxu0611/tensorflow-implementation-of-lcnn
https://github.com/zachzhu2016/Spectraface
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/zachzhu2016/thermal-face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/zafartakekh/finddrop
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/zero-or-one/URP
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
https://github.com/zexUlt/facerec
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/zhaoxin111/insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/zhen8838/Circle-Loss
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/zheng1weiyu/Insightface_for_FaceRecog
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/zkcys001/awesome-Semi-WeakPersonReID
Weakly supervised discriminative feature learning with state information for person identification
https://github.com/zrui94/insight_mx
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
https://github.com/zuoqing1988/mobile-sphereface-caffe
https://github.com/zzdang/match_fashion
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/zzzweakman/cvpr24_frcsyn_admis
https://gitlab.idiap.ch/bob/bob.paper.tbiom2023_edgeface
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.