https://github.com/godofpdog/MobileFaceNet_keras
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
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/goingqs/pyramidbox
https://github.com/gokulprasadthekkel/pytorch-multi-class-focal-loss
https://github.com/gouthamvgk/facemesh_coreml_tf
https://github.com/gox-ai/hrnet-pose-api
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/gpspelle/Crowd-Counting
https://github.com/gregoiredervaux/face_recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/grey-eye/talking-heads
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/grip-unina/GANimageDetection
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces
https://github.com/gscdit/Mood-Analysis
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/guoqiangqi/PFLD
https://github.com/guppykang/joshFaceV2
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/gurushantj/MTCNN
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/gyes00205/waymo_tf_object_detection
https://github.com/haithink/myWindowsDarknet
https://github.com/hakaneroztekin/face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/hamzaMahdi/darknet
https://github.com/hankpark0706/darknet
https://github.com/hantek/SelfAttentiveSentEmbed
https://github.com/hao-qiang/GANimation-tf
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/happy-jihye/Cartoon-StyleGAN
https://github.com/hardik-uppal/CNN-fusion-networks
Two-Level Attention-based Fusion Learning for RGB-D Face Recognition
https://github.com/hashmatshadab/apr
https://github.com/hazdzz/BGU
https://github.com/hcholab/k-salsa
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/healthx-lab/biomedcoop
https://github.com/heathentw/prnet-tf2
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
https://github.com/hectorgie/DeepFaceLab
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/hemanshanand/Facial-Expression-Recognition
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/heorhii-bolotov/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/hggym/pigo
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
https://github.com/hh-xiaohu/Image-augementation-pytorch
Training Region-based Object Detectors with Online Hard Example Mining
https://github.com/hhenryd/tap
https://github.com/hhj1897/face_detection
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/hhuaibo/darknet
https://github.com/hisiter97/darknet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.