Deep Siamese network for low-resolution face recognition (2021, APSIPA ASC)
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Updated
Apr 19, 2024 - Python
Deep Siamese network for low-resolution face recognition (2021, APSIPA ASC)
A PyTorch Toolbox for Face Recognition
Low-Resolution Face Recognition Based on Identity-Preserved Face Hallucination (2019, ICIP)
Demo of Face Recognition web service
Pytorch implementation of "A Better Autoencoder for Image: Convolutional Autoencoder" by Yifei Zhang
face analysis project with tensorflow 2.0 || arcface
Real-Time Semantic Segmentation in Mobile device
Repo for our Paper: Cross Quality LFW: A database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments
A PyTorch Implementation of ShuffleFaceNet.
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 appe…
Face Recognition with convolutional neural network (CNN) on Labeled Faces in the Wild (LFW) dataset
Official repository for MixFaceNets: Extremely Efficient Face Recognition Networks
center loss for face recognition
Face Recognition using FaceNet
Train/validate VGGface2 dataset based on L2-constrained softmax loss.
Multi-metric-learning-discriminative-for-face-verification-SPDML-with-Labled-FACE-In Wild-(LFW ) dataset-YFT
Face recognition
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