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/christy1206/STSTNet
Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition
https://github.com/chroniccrash/facestuff
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/cindyloo/rockstar-ai
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/civilman628/pgan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/cj-mclaughlin/segmentation_research
https://github.com/cjfghk5697/Pytorch-Research-Paper-Implementations
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ck37/coral-ordinal
Rank consistent ordinal regression for neural networks with application to age estimation
https://github.com/ckapoor7/DeXpression
DeXpression: Deep Convolutional Neural Network for Expression Recognition
https://github.com/clairehester/face-mask-detector
Deep Learning Framework to Detect Face Masks from Video Footage
https://github.com/claushofmann/GAN-game-art
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/clcarwin/sphereface
https://github.com/clcarwin/sphereface_pytorch
https://github.com/clinicalml/parametric-robustness-evaluation
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
https://github.com/cloudnine148/PHC_2nd_SPC
https://github.com/clvrai/representation-learning-by-learning-to-count
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/clxiao/Tiny_Faces_in_Tensorflow
https://github.com/cmusatyalab/openface
https://github.com/coconutzs/PointNet_zs
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/cocopambag/ResNet
https://github.com/code-implementation1/Code1/tree/main/DeepID
https://github.com/code-implementation1/Code3/tree/main/FaceAttribute
https://github.com/code-implementation1/Code3/tree/main/FaceDetection
https://github.com/code-implementation1/Code3/tree/main/FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/code-implementation1/Code3/tree/main/FaceRecognitionForTracking
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/code-implementation1/Code3/tree/main/faceboxes
https://github.com/code-implementation1/Code4/tree/main/LightCNN
https://github.com/code-implementation1/Code5/tree/main/MTCNN
Real-world adversarial attack on MTCNN face detection system
https://github.com/code-implementation1/Code5/tree/main/MaskedFaceRecognition
MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19
https://github.com/code-implementation1/Code5/tree/main/lresnet100e_ir
https://github.com/code-implementation1/Code6/tree/main/PGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/code-implementation1/Code6/tree/main/PyramidBox
PyramidBox++: High Performance Detector for Finding Tiny Face
https://github.com/code-implementation1/Code7/tree/main/ReIDStrongBaseline
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/code-implementation1/Code7/tree/main/resnetv2
https://github.com/code-implementation1/Code8/tree/main/sphereface
https://github.com/code-implementation1/Code9/tree/main/Arcface
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.