lfw

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 Recognition in real-world images [ICASSP 2017]

face analysis project with tensorflow 2.0 || arcface

Demo of Face Recognition web service

Neural networks for facial recognition using Keras and the LFW Face Database.

This repo contains auto encoders and decoders using keras and tensor flow. It shows the exact encoding and decoding with the code part.

Some handy scripts for processing face datasets

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.

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

Face recognition

Official PyTorch implementation of Low-Resolution Face Recognition Based on Identity-Preserved Face Hallucination.

128D Facenet Embedding Visualisation

A PyTorch Implementation of ShuffleFaceNet.

Cross Quality LFW: A database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments

Tensorflow implementation of dcgan

Introduction of how to use LFW database according to its protocols

Multi-metric-learning-discriminative-for-face-verification-SPDML-with-Labled-FACE-In Wild-(LFW ) dataset-YFT

Train/validate VGGface2 dataset based on L2-constrained softmax loss.

An image recognition process contained in the LFW database http://vis-www.cs.umass.edu/lfw/#download is carried out with extreme simplicity, taking advantage of the ease of sklearn to implement the SVM model. Cascading face recognition is also used to refine the images, obtaining accuracy greater than 70% in the test with images that do not appear in the training.

Face Recognition using FaceNet

A coolection of tools for organizing directories, specifically converting the Labeled Faces of the Wild (cropped) to a common standard.