https://github.com/bielcarvalho/RPII-EP
FaceNet: A Unified Embedding for Face Recognition and Clustering
Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/big-bombom/deepfake
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/bigaandsmallq/d3
D$^3$: Scaling Up Deepfake Detection by Learning from Discrepancy
https://github.com/bingxinhu/arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/binhdv92/darknet
https://github.com/binhdv92/darknet_kriyeng
https://github.com/binjiezhang/RACT_ICLR2022
Towards Universal Backward-Compatible Representation Learning
https://github.com/biubug6/Pytorch_Retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/bleakie/RetinaDetection
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/bleakie/RetinaDetector
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/bobby20180331/darknet_pycharm
https://github.com/bobetocalo/bobetocalo_eccv18
Face Alignment using a 3D Deeply-initialized Ensemble of Regression Trees
https://github.com/bobetocalo/bobetocalo_prl19
https://github.com/bogireddytejareddy/micro-expression-recognition
https://github.com/borhanMorphy/fastface
https://github.com/borhanMorphy/light-face-detection
https://github.com/boris127/vehicle-detection
https://github.com/boseaslcohort/youtube-8m
https://github.com/boukhayma/face_normals
Cross-modal Deep Face Normals with Deactivable Skip Connections
https://github.com/bovifocr/insightface
Sample and Computation Redistribution for Efficient Face Detection
https://github.com/brendanmallery9/entropic-barycenters
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/bruceeeee/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/bruinxiong/Evaluation_IJBA
A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion
https://github.com/brunocalogero/AMLSassignment
From Facial Parts Responses to Face Detection: A Deep Learning Approach
https://github.com/bryandlee/FreezeG
Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation
https://github.com/brycexu/MR-Residual-Net
https://github.com/bt77/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/bubbliiiing/retinaface-keras
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/buptdbj/darknet-windows-linux
https://github.com/busyboxs/Some-resources-useful-for-me
Training Region-based Object Detectors with Online Hard Example Mining
https://github.com/bxz9200/ultraclean
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
https://github.com/c1ph3rr/Deep-Residual-Learning-for-Image-Recognition
https://github.com/c1ph3rr/Very-Deep-Convolutional-Networks-For-Large-Scale-Image-Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/caihaocong/Yolov3_AlexeyAB_Version
https://github.com/caihuaiguang/CHG-Shapley-for-Data-Selection
https://github.com/calmisential/TensorFlow2.0_Image_Classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.