26 open-source projects similar to happynear/normface, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best NormFace alternative.
by Feng Wang, Weiyang Liu, Haijun Liu, Jian Cheng
Implementation for in CVPR'17.
FaceNet is a facial recognition framework designed to transform facial images into high-dimensional numerical embeddings for identity verification and recognition. It provides a deep learning face embedder that maps facial features into a Euclidean space where distance corresponds to facial similarity. The system includes tools for both supervised and unsupervised identity management. It features a face identity classifier for categorizing images into known identity classes and an unsupervised clustering tool to group similar facial embeddings together without predefined labels. The framewor
InsightFace is a comprehensive deep learning framework designed for face recognition, biometric identity verification, and feature extraction. It provides a specialized engine for one-to-one verification and one-to-many identification tasks, utilizing convolutional neural networks to transform raw image pixels into high-dimensional vector embeddings. The project includes a complete toolkit for detecting, aligning, and processing facial data to ensure consistent identity discrimination. Beyond core recognition, the platform distinguishes itself through an extensive model management and optimiz
This branch is developed for deep face recognition
This is the implementation of paper <Additive Margin Softmax for Face Verification>
This is code for the PDSN in our paper. Deep Convolutional Neural Networks (CNNs) have been pushing the frontier of face recognition over past years. However, existing general CNN face models generalize poorly for occlusions on variable facial areas. Inspired by the fact that the human visual…
Openface is a deep learning toolkit designed for facial recognition and identity verification. It provides a comprehensive pipeline for detecting faces, aligning landmarks, and transforming facial images into compact numerical vectors. By utilizing these embeddings, the system enables identity classification and similarity comparison through geometric distance calculations. The project distinguishes itself by integrating research-oriented diagnostic tools alongside its core recognition capabilities. It includes utilities for visualizing high-dimensional feature clusters, inspecting internal c
Download from the Websit: http://home.ustc.edu.cn/~chendong/JointBayesian/
This is a demo code of training and testing Probabilistic Face Embeddings using Tensorflow. Probabilistic Face Embeddging (PFE) is a method that converts conventional CNN-based face embeddings into probabilistic embeddings by calibrating each feature value with an uncertainty value. The…
PyTorch module to use OpenFace's nn4.small2.v1.t7 model
SphereFace+ is released under the MIT License (refer to the LICENSE file for details).
Tensorflow implementation for paper CosFace: Large Margin Cosine Loss for Deep Face Recognition
A PyTorch code of paper Dual Variational Generation for Low Shot Heterogeneous Face Recognition.
This is the code of CVPR 2019 paper《Unequal Training for Deep Face Recognition with Long Tailed Noisy Data》.
Noise-Tolerant Paradigm for Training Face Recognition CNNs Official, CVPR 2019
This project is an implementation for "Led3D: An lightweight and efficent deep approach to recognizing low-quality 3d faces" Download , which is accepted by CVPR2019.
1、在caffe中实现arcface中的损失函数,参考cosinface的实现。
This repository contains code for AdaCos, ArcFace, CosFace, and SphereFace based on AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations implemented in PyTorch.