A PyTorch Toolbox for Face Recognition

Real-Time Semantic Segmentation in Mobile device

center loss for face recognition

Face Recognition in real-world images [ICASSP 2017]

Deep Face Recognition in PyTorch

face analysis project with tensorflow 2.0 || arcface

Official repository for MixFaceNets: Extremely Efficient Face Recognition Networks

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.

Demo of Face Recognition web service

A PyTorch Implementation of ShuffleFaceNet.

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

work in Advanced Topics in Multimedia Analysis and Indexing

Low-Resolution Face Recognition Based on Identity-Preserved Face Hallucination (2019, ICIP)

This is the Python version of evaluation.m for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17

Face recognition

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.