Papers with Code 아카이브
Facial Recognition and Modelling
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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/MichaelWangfc/distributed-tensorflow-resnet
https://github.com/Mimigatto/face-mask-detection
MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19
https://github.com/Mind23-2/MindCode-101/tree/main/HRNetW48_cls
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/Mind23-2/MindCode-101/tree/main/LightCNN
https://github.com/Mind23-2/MindCode-101/tree/main/MTCNN
Real-world adversarial attack on MTCNN face detection system
https://github.com/Mind23-2/MindCode-101/tree/main/MaskedFaceRecognition
https://github.com/Mind23-2/MindCode-101/tree/main/lresnet100e_ir
https://github.com/Mind23-2/MindCode-112
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
https://github.com/Mind23-2/MindCode-119
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Mind23-2/MindCode-13
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/Mind23-2/MindCode-14
CenterFace: Joint Face Detection and Alignment Using Face as Point
https://github.com/Mind23-2/MindCode-174
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/Mind23-2/MindCode-176
https://github.com/Mind23-2/MindCode-3/tree/main/HRNetW48_cls
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/Mind23-2/MindCode-3/tree/main/HRNetW48_seg
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/Mind23-2/MindCode-3/tree/main/HiFaceGAN
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
https://github.com/Mind23-2/MindCode-3/tree/main/LightCNN
https://github.com/Mind23-2/MindCode-3/tree/main/MTCNN
Real-world adversarial attack on MTCNN face detection system
https://github.com/Mind23-2/MindCode-3/tree/main/MaskedFaceRecognition
https://github.com/Mind23-2/MindCode-3/tree/main/lresnet100e_ir
https://github.com/Mind23-2/MindCode-31
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Mind23-2/MindCode-4/tree/main/hrnet
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/Mind23-2/MindCode-4/tree/main/vgg
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Mind23-2/MindCode-41
https://github.com/Mind23-2/MindCode-5/tree/main/PGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Mind23-2/MindCode-5/tree/main/PyramidBox
PyramidBox++: High Performance Detector for Finding Tiny Face
https://github.com/Mind23-2/MindCode-56
https://github.com/Mind23-2/MindCode-59
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/Mind23-2/MindCode-63
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Mind23-2/MindCode-67
https://github.com/Mind23-2/MindCode-70
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Mind23-2/MindCode-71
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/Mind23-2/MindCode-88/tree/main/sphereface
SphereFace Revived: Unifying Hyperspherical Face Recognition
https://github.com/Mind23-2/MindCode-95
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/MindCode-4/code-11/tree/main/circle-loss
Circle Loss: A Unified Perspective of Pair Similarity Optimization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.