Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 25
- 평가표
- 0
- 보존된 평가 기록
- 0
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/AdrianUng/keras-triplet-loss-mnist
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AdrianVG194/cnn-hyperopt-fer2013
https://github.com/AemikaChow/DATASOURCE
Imbalanced Deep Learning by Minority Class Incremental Rectification
https://github.com/Aggrathon/MtGan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Agrover112/SiameseNet-Search
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AlexHex7/DRML_pytorch
https://github.com/AlexeiKaplenko/FaceShifter_mine
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/AlexeyAB/darknet
https://github.com/AlgoHunt/Face-Xray
https://github.com/Alireza-Akhavan/face-quality-metrics
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
https://github.com/AmirSh15/FECNet
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/AmrElsersy/Emotions-Recognition
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/AmrElsersy/PFLD-Pytorch-Landmarks
https://github.com/AmrTarekk/Attendence-system-using-Facial-Recognition-
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Ananaskelly/TPE
Triplet Probabilistic Embedding for Face Verification and Clustering
https://github.com/Ander02/FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AndreasWieg/PC-PGGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Andribi/A2MF_AP
https://github.com/Anil1331/Facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AnjanaGJoseph/Super-Resolution-GAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/Anuranjan-Kumar/Face-Detection
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/ArMaxik/Progressive_growing_of_GANs-Pytorch_implementation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Armxyz1/Results-on-RFW
https://github.com/Arneli/image-generator-for-BScThesis
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems
https://github.com/ArsenalCheng/Meta-Adapter
https://github.com/ArturPrzybysz/MNIST-siamese
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/ArturPrzybysz/siamese-CNN-cat-vs-dogs
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Aruie/Aru_StyleGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Aryan05/Generative-Modelling-of-Images-from-Speech_Speech2Face
Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks
https://github.com/Ash-Lee233/PGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Ashigarg123/ShiftySpeech
https://github.com/AshikaAnand12/FaceManipulation
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
https://github.com/Ashish013/FaceNet_TF-2.0
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Asthestarsfalll/LightCNN-MegEngine
https://github.com/AswillHatter/Sondi1
FaceNet: A Unified Embedding for Face Recognition and Clustering
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.