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/sebastiaopamplona/msc-thesis-deepfsim
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/sebsquire/Dogs-and-cats-image-classification-CNN
https://github.com/sebsquire/FlowersRecognition_keras
https://github.com/seishinkikuchi/test
https://github.com/semi0612/cat_and_dog_vgg
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/senguptaumd/SfSNet
An All-In-One Convolutional Neural Network for Face Analysis
https://github.com/seongilp/DFE604-2020F-FinalProject
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/serengil/deepface
Deep Learning Face Representation by Joint Identification-Verification
https://github.com/serengil/retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/sergkuzn148/lol3
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/sergkuzn148/stg
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/serre-lab/gala_tpu
https://github.com/setharram/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/sevenHsu/Face_Recognition_IN_Video
https://github.com/seyrankhademi/ResNet_CIFAR10
https://github.com/sgrvinod/a-pytorch-tutorial-to-super-resolution
https://github.com/shahbuland/basic-gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/shahidul56/Tiny_Faces_in_Tensorflow_msc
https://github.com/shanxuanchen/FacialExpressionRecognition
Island Loss for Learning Discriminative Features in Facial Expression Recognition
https://github.com/shao-chi/ImageCaption
https://github.com/shariff94/Facial_Keypoint_Detection
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
https://github.com/shashigharti/secure-privateai-scholarship-challenge
https://github.com/shenwei1231/caffe-DeepRegressionForests
https://github.com/sherkhan15/distarctor-Detection_Eyes_Emotions_CI
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/shi510/ffem
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/shijianjian/HRNet_Keras
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/shijianjian/efficientnet-pytorch-3d
https://github.com/shijx12/AR-Tree
https://github.com/shinyingl/CV_Facial_Keypoints
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
https://github.com/shiqiyu/libfacedetection.train
https://github.com/shoaibahmed/CrossLayerPooling
https://github.com/shoji9x9/CIFAR-10-By-small-ResNet
https://github.com/shoji9x9/Fashion-MNIST-By-ResNet
https://github.com/shoutOutYangJie/Few-Shot-Adversarial-Learning-for-face-swap
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/shridharrhegde/vgg-age
Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.