https://github.com/NathanHouwaart/EmotionRecognition
Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
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/Natty07/Deep_Learning
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/NeekHua/Pytorch_Retinaface_use_owner_data_test
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/Neilblaze/Adoptic
Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs
https://github.com/Neoanarika/torchexplainer
https://github.com/NetoPedro/VGGFace2-Test
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/NickKaparinos/Google-Landmark-Recognition-2021
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/NikhitaMethwani/Deep-Fakes-Cars-Generation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/NoahBarrett98/ProgressiveGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/NovasMax/R3Det-Refined-Single-Stage-Detector-with-Feature-Refinement-for-RO
https://github.com/Novemser/deep-imitation
https://github.com/NumericalAdvantage/ld-node-facedetector-2
https://github.com/OFRIN/Tensorflow_RetinaFace
https://github.com/OPAYA/Transformer
https://github.com/ORB-HD/deface
CenterFace: Joint Face Detection and Alignment Using Face as Point
https://github.com/OUC-VAS/FacePoison
Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection
https://github.com/OlafenwaMoses/Action-Net
https://github.com/OlafenwaMoses/IdenProf
https://github.com/OlafenwaMoses/Traffic-Net
https://github.com/Olayemiy/Image-Classification-With-Resnet
https://github.com/Olksndr/FaceShifter
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/OmarEl-Khashab/FerNeXt-Facial-Expression-Recognition-Using-ConvNeXt-with-Channel-Attention
https://github.com/One-sixth/CVAE-GAN_tensorlayer
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
https://github.com/Ontheway361/dul-pytorch
https://github.com/Ontheway361/pfld-pytorch
https://github.com/Oorgien/Scene-Inpainting
https://github.com/OpenSpaceAI/TI-Face
TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces
https://github.com/OpenTalker/SadTalker
https://github.com/PPPrior/i3d-pytorch
https://github.com/PaParaZz1/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/PacktPublishing/Hands-On-Image-Generation-with-TensorFlow-2.0/tree/master/Chapter07
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/PaddlePaddle/PLSC
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/PaddlePaddle/PaddleDetection
https://github.com/PaddlePaddle/PaddleSeg
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/Panagiotou/Procedural3DTerrain
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Panagiotou/Random3DTerrain
Progressive Growing of GANs for Improved Quality, Stability, and Variation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.