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/YIZHE12/robots
https://github.com/YanWei123/PointNet-encoder-and-FoldingNet-decoder-add-quantization-change-latent-code-size-from-512-to-1024
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/YanWei123/Pointnet_encoder_Foldingnet_decoder_quantization
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/YanWei123/Pytorch-implementation-of-FoldingNet-encoder-and-decoder-with-graph-pooling-covariance-add-quanti
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Yang-Q-D/mindsporeCode/tree/master/arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/Yang2446/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/YangYongJin/APEX
https://github.com/YanyingZH/srgan-esrgan-pytorch
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/Yashgh7076/CPSC-8810-Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Yashgh7076/Eluvio-ML-Scene-Segmentation
https://github.com/Yijunmaverick/GenerativeFaceCompletion
https://github.com/YiruS/pointnet_adversarial
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Yonder-OSS/D3M-Primitives
https://github.com/YonghaoHe/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices
https://github.com/Young98CN/pointconv_pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/YuanxunLu/LiveSpeechPortraits
Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation
https://github.com/YudeWang/UNet-Satellite-Image-Segmentation
https://github.com/YutingZhang/lmdis-rep
Unsupervised Discovery of Object Landmarks as Structural Representations
https://github.com/Yuto0107/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/YuvalNirkin/face_video_segment
https://github.com/YvanG/VQGAN-CLIP
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/ZBigFish/FER-VT
https://github.com/ZHANG-SHI-CHANG/Pytorch_Retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/ZTao-z/multiflow-resnet-ssd
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ZVK/Talking-Heads
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/ZVK/talking_heads
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/ZacharyGoshen/cifar-10-classifier
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Zachdr1/CNNs
https://github.com/Ze-Yang/Context-Transformer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Zhachory1/MusicNST
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ZhaoJ9014/face.evoLVe
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/ZhenJie-Zhang/darknet_shoe
https://github.com/ZhihaoZhu/PointNet-Implementation-Tensorflow
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/ZhiwenShao/JAANet
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment
https://github.com/ZmeiGorynych/transformer_pytorch
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.