https://github.com/rap-music/-
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
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/raspstephan/sugar-flower-fish-or-gravel
https://github.com/raulsteleac/Speech_Emotion_Recognition
Transfer Learning for Improving Speech Emotion Classification Accuracy
https://github.com/rdgozum/dexpression-pytorch
DeXpression: Deep Convolutional Neural Network for Expression Recognition
https://github.com/realmichaelye/Skin-Lesions-Classifier-ResNet50
https://github.com/rebeccagio/object_detection
https://github.com/redcaps-dataset/pytorch-retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/reneang17/authorencoder
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/researchmm/SiamDW
https://github.com/respectableupstandinggentleman/test
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/rhero12/Slic
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/richaagrawa/Facial-Recognition-System
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/richieyoum/Pneumonia-diagnosis
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/richmondu/libfaceid
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/rickyHong/tfRecord-Caltech256-repl2
https://github.com/rikichou/face_recognition_insight_face
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/rishabh-vij/Neural_Style_transfer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rishabmallick/Sign-language-live-predictor
https://github.com/rizqiamaliatuss/PotatoLeafDiseaseClassification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rmwkwok/product_visual_search
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/rnirdhar/yoloMultiClass
https://github.com/rnirdhar/yoloTestOneClass
https://github.com/rnradon/gender_emotion_classification
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/robertofranceschi/Image-classification-on-Caltech101-using-CNNs
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rockstar-0000/lip_sync_test
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
https://github.com/rohanbhutani1993/GeneratingDeepfakes
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/rohansuresh27/FaceNet_face_verification
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/rohith2506/facedetect
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/rohithv/Grammatical-facial-expression-recognition
Grammatical facial expression recognition using customized deep neural network architecture
https://github.com/ronghuaiyang/arcface-pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/ronny3050/AdvFaces
https://github.com/roomylee/self-attentive-emb-tf
https://github.com/roscibely/gender-prediction
Predicting Gender by First Name Using Character-level Machine Learning
https://github.com/roshankoirala/Fire_Detection_Model
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rosinality/progressive-gan-pytorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/rowerliu/adbd
Progressive Growing of GANs for Improved Quality, Stability, and Variation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.