Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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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/aimagelab/elsa_coco-fake
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
https://github.com/ainrichman/Peppa-Facial-Landmark-PyTorch
https://github.com/ajaystar8/PDRUNet-PyTorch
https://github.com/ajinkyabedekar/Face-to-Emoji
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/ajithvallabai/getsetgo_keras-beginner
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/akamaster/pytorch_resnet_cifar10
https://github.com/akanimax/T2F
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/akanimax/pro_gan_pytorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/akar5h/Image-Recognition-with-CNN-and-Transfer-Learning-ResNet101
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/akhadangi/EM-net
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/akirafukui/vqa-mcb
https://github.com/akommini/Spoken-Numeric-Digit-detection
https://github.com/akshaybahadur21/Facial-Recognition-using-Facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/akshayraghavan21/Face_Recognition_Using_Facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/alalagong/LEDNet
https://github.com/albanie/mcnCrossModalEmotions
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/albertomontesg/keras-model-zoo
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/alecwangcq/KFAC-Pytorch
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/alex-f1tor/Image-Caption
https://github.com/alexattia/ExtendedTinyFaces
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/alexeyhorkin/ProGAN-PyTorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/alexsax/midlevel-reps
https://github.com/alexwdong/IncubatorCVProject
https://github.com/alfagao/DeOldify
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/ali-vilab/FlashFace
FlashFace: Human Image Personalization with High-fidelity Identity Preservation
https://github.com/alibaba/EasyCV
https://github.com/alililia/ascend_ESRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/alililia/ascend_FaceAttribute
https://github.com/alililia/ascend_HRNetW48_cls
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/alililia/ascend_SE-Net
https://github.com/alililia/ascend_sphereface
https://github.com/alililia/gpu_sphereface
https://github.com/alililia/ms_contrib/tree/main/ascend_vgg19
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/alililia/ms_contrib/tree/main/gpu_vgg19
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/alililia/ms_extend/tree/main/gpu_resnet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.