https://github.com/4uiiurz1/pytorch-adacos
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations
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/771979972/Paddle_pSp
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/771979972/paddle-SAM
Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
https://github.com/9B8DY6/Landmark-detection-in-TOF-MRA
Structured Landmark Detection via Topology-Adapting Deep Graph Learning
https://github.com/AIOSYM/dl-model-gallery
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Aal-Izz-Well/pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/AbdallahMGomaa/PatchNet
PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition
https://github.com/Abdelhamid-bouzid/Deep-metric-learning
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AbdielNie/GAN_Face-Rotation
https://github.com/AbhinavBaranwal/DeepFaceLab
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/AbhinavJhanwar/GAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/AdamHtooLwin/vigilant
https://github.com/Adarsh79/Face-Recognition-with-Facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AdeelH/pytorch-multi-class-focal-loss
https://github.com/Adityaraj975/DFL
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/Adityaraj975/DeepFaceLab
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/AdivarekarBhumit/ID-Card-Segmentation
https://github.com/AdrianUng/keras-triplet-loss-mnist
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AdrianVG194/cnn-hyperopt-fer2013
https://github.com/AemikaChow/DATASOURCE
Imbalanced Deep Learning by Minority Class Incremental Rectification
https://github.com/Afsaan/CNN-Architectures
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Aggrathon/MtGan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Agrover112/SiameseNet-Search
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AlexHex7/DRML_pytorch
https://github.com/AlexeiKaplenko/FaceShifter_mine
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/AlexeyAB/darknet
https://github.com/AlgoHunt/Face-Xray
https://github.com/Alireza-Akhavan/face-quality-metrics
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
https://github.com/AmirSh15/FECNet
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/AmrElsersy/Emotions-Recognition
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/AmrElsersy/PFLD-Pytorch-Landmarks
https://github.com/AmrTarekk/Attendence-system-using-Facial-Recognition-
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Ananaskelly/TPE
Triplet Probabilistic Embedding for Face Verification and Clustering
https://github.com/Ander02/FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Anderies/stochastic-constant-pruninglayers
https://github.com/AndreasWieg/PC-PGGAN
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.