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/AngusG/bn-advex-zhang-fixup
https://github.com/Aniket7/VGGNet-CNN-architecture
Very Deep Convolutional Networks for Large-Scale Image Recognition
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/Anuranjan-Kumar/kaggle_cats-vs-dogs
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ArMaxik/Progressive_growing_of_GANs-Pytorch_implementation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/ArifRaihan/Deeper-CNN-Architectures-for-Image-Classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
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
https://github.com/AswillHatter/Union
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Atcold/torch-TripletEmbedding
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AtlasCoCo/Darknet
https://github.com/Avditvs/proGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/AveryGriffin/NarutoCV
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Ayoob7/facenet-face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AyushAniket/ResNET-and-various-normalizations
https://github.com/BFD91/facial-beauty-rating-tinder-bot
SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction
https://github.com/BIG-CHENG/FaceRec
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/BR-IDL/PaddleViT/tree/develop/image_classification/RepMLP
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
https://github.com/BZstat/Attendance-AI
https://github.com/Baichenjia/Resnet
https://github.com/Bao-Jiarong/ResNet
https://github.com/Baukebrenninkmeijer/HackGAN
FaceForensics++: Learning to Detect Manipulated Facial Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.