https://github.com/Anil1331/Facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
Papers with Code 아카이브
Face Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
- 25
- 보존된 평가 기록
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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/Armxyz1/Results-on-RFW
https://github.com/Arneli/image-generator-for-BScThesis
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems
https://github.com/ArturPrzybysz/MNIST-siamese
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/ArturPrzybysz/siamese-CNN-cat-vs-dogs
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Ashish013/FaceNet_TF-2.0
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Asthestarsfalll/LightCNN-MegEngine
https://github.com/AswillHatter/Sondi1
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AswillHatter/Union
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Atcold/torch-TripletEmbedding
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Ayoob7/facenet-face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/BR-IDL/PaddleViT/tree/develop/image_classification/RepMLP
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
https://github.com/BZstat/Attendance-AI
https://github.com/BeefMILF/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/BradNeuberg/personal-photos-model
https://github.com/CatoGit/Comparing-the-Performance-of-Deepfake-Detection-Methods-on-Benchmark-Datasets
DeepFakes: a New Threat to Face Recognition? Assessment and Detection
https://github.com/CdtQin/FairFace
Improving Face Recognition from Hard Samples via Distribution Distillation Loss
https://github.com/CharlesPikachu/CharlesFace
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/CoinCheung/pytorch-loss
Partial FC: Training 10 Million Identities on a Single Machine
https://github.com/DSL-FIQA/DSL-FIQA
https://github.com/DaneyAlex5/Live-Face-Verification-Using-Deep-Learning
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/DaneyAlex5/Webcam-based-Face-Recognition-using-Deep-Learning-
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Denver-Pinto/FaceRecognitionAndroid
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/DingXiaoH/DiverseBranchBlock
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
https://github.com/DingXiaoH/GSM-SGD
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
https://github.com/DingXiaoH/ResRep
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
https://github.com/DongDem/RangeLoss_MarginalLoss_Tensorflow
https://github.com/DongDem/RangeLoss_Marginal_Loss_Tensorflow
https://github.com/Dou-Yu-xuan/vggface2-pytorch
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/Doyosae/Deep-Complex-Networks
https://github.com/Doyosae/Deep_Complex_Networks
https://github.com/Eltomad/Noiseface
https://github.com/Eltomad/Tiny_Faces
https://github.com/Eltomad/insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/EvgenyDyshlyuk/DeepLearning_face_detection_embeddings_clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/EvgenyDyshlyuk/Deep_Learning_Face_Detection_Embeddings_Clustering
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.