A PyTorch Toolbox for Face Recognition
Real-Time Semantic Segmentation in Mobile device
center loss for face recognition
Deep Face Recognition in PyTorch
Official repository for MixFaceNets: Extremely Efficient Face Recognition Networks
face analysis project with tensorflow 2.0 || arcface
Face Recognition in real-world images [ICASSP 2017]
Demo of Face Recognition web service
A PyTorch Implementation of ShuffleFaceNet.
Neural networks for facial recognition using Keras and the LFW Face Database.
This project uses the Labeled Faces in the Wild (LFW) dataset, and the goal is to train variants of deep architectures to learn when a pair of images of faces is the same person or not. It is a pytorch implementation of Siamese network with 19 layers.
Some handy scripts for processing face datasets
Repo for our Paper: Cross Quality LFW: A database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments
Low-Resolution Face Recognition Based on Identity-Preserved Face Hallucination (2019, ICIP)
This repo contains auto encoders and decoders using keras and tensor flow. It shows the exact encoding and decoding with the code part.
work in Advanced Topics in Multimedia Analysis and Indexing
This is the Python version of evaluation.m for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17
128D Facenet Embedding Visualisation
Face recognition
Introduction of how to use LFW database according to its protocols
Add a description, image, and links to the lfw topic page so that developers can more easily learn about it.
To associate your repository with the lfw topic, visit your repo's landing page and select "manage topics."