lfw
There are 0 repository under lfw topic.
- Language:Python 1835
akirasosa / mobile-semantic-segmentation
Real-Time Semantic Segmentation in Mobile device
Language:Python 710louis-she / center-loss.pytorch
center loss for face recognition
Language:Python 174grib0ed0v / face_recognition.pytorch
Deep Face Recognition in PyTorch
Language:Python 151fdbtrs / mixfacenets
Official repository for MixFaceNets: Extremely Efficient Face Recognition Networks
Language:Python 59aangfanboy / deepface
face analysis project with tensorflow 2.0 || arcface
Language:Jupyter Notebook 48fonfonx / FaceRecognition
Face Recognition in real-world images [ICASSP 2017]
Language:Python 38sankovalev / Look4Face
Demo of Face Recognition web service
Language:HTML 28charlesreid1 / in-your-face
Neural networks for facial recognition using Keras and the LFW Face Database.
Language:Jupyter Notebook 22mbfaria / ShuffleFaceNet_Pytorch
A PyTorch Implementation of ShuffleFaceNet.
Language:Python 22cnzeki / face-datasets
Some handy scripts for processing face datasets
Language:Python 18inboxpraveen / Autoencoders-and-decoders-using-keras-and-tensorflow
This repo contains auto encoders and decoders using keras and tensor flow. It shows the exact encoding and decoding with the code part.
Language:Jupyter Notebook 18stytim / LFW_Siamese_Pytorch
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.
Language:Python 18johnnysclai / SR_LRFR
Low-Resolution Face Recognition Based on Identity-Preserved Face Hallucination (2019, ICIP)
Language:Python 17Martlgap / xqlfw
Repo for our Paper: Cross Quality LFW: A database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments
Language:Python 16thtang / Sparse-Coding-for-Face-Image-Retrieval
work in Advanced Topics in Multimedia Analysis and Indexing
Language:Jupyter Notebook 15Snowball-Wang / LFW_accuracy_test
This is the Python version of evaluation.m for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17
Language:Python 13- Language:Python 11
huyhoang17 / 128D-Facenet-LFW-Embedding-Visualisation
128D Facenet Embedding Visualisation
Language:HTML 11- Language:Python 6
MonsterZhZh / LFW_Database_Tutorial
Introduction of how to use LFW database according to its protocols
- Language:Python 3
mohdaltazzi / Multi-metric-learning-discriminative-for-face-verification-
Multi-metric-learning-discriminative-for-face-verification-SPDML-with-Labled-FACE-In Wild-(LFW ) dataset-YFT
Language:MATLAB 2pauldamsa / Face-Recognition
Face Recognition using FaceNet
Language:Jupyter Notebook 2behnamy2010 / Face-Recognition
Face Recognition with convolutional neural network (CNN) on Labeled Faces in the Wild (LFW) dataset
Language:Jupyter Notebook 1blvebird / L2-constrained-Softmax-Loss
Train/validate VGGface2 dataset based on L2-constrained softmax loss.
Language:Python 1- Language:Jupyter Notebook 1
Deep Siamese network for low-resolution face recognition (2021, APSIPA ASC)
Language:Python 1tanjeffreyz / convolutional-autoencoder
Pytorch implementation of "A Better Autoencoder for Image: Convolutional Autoencoder" by Yifei Zhang
Language:Python 1- Language:Python 0
ablanco1950 / LFW_SVM_facecascade
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.
Language:PythonRoyz2123 / LFW-tools
A coolection of tools for organizing directories, specifically converting the Labeled Faces of the Wild (cropped) to a common standard.
Language:Python
