FaceNet: A Unified Embedding for Face Recognition and Clustering

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Publications: arXiv Add/Edit

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Despite significant recent advances in the field of face recognition, implementing face verification and recognition efficiently at scale presents serious challenges to current approaches. In this paper we present a system, called FaceNet, that directly learns a mapping from face images to a compact Euclidean space where distances directly correspond to a measure of face similarity. Once this space has been produced, tasks such as face recognition, verification and clustering can be easily implemented using standard techniques with FaceNet embeddings as feature vectors. Our method uses a deep convolutional network trained to directly optimize the embedding itself, rather than an intermediate bottleneck layer as in previous deep learning approaches. To train, we use triplets of roughly aligned matching / non-matching face patches generated using a novel online triplet mining method. The benefit of our approach is much greater representational efficiency: we achieve state-of-the-art face recognition performance using only 128-bytes per face. On the widely used Labeled Faces in the Wild (LFW) dataset, our system achieves a new record accuracy of 99.63%. On YouTube Faces DB it achieves 95.12%. Our system cuts the error rate in comparison to the best published result by 30% on both datasets. We also introduce the concept of harmonic embeddings, and a harmonic triplet loss, which describe different versions of face embeddings (produced by different networks) that are compatible to each other and allow for direct comparison between each other.

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Code Links

Languages: Python Add/Edit

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Face recognition using Tensorflow

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github.com: /tbmoon/facenet

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FaceNet for face recognition using pytorch

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train tools for Facenet

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mxnet version batch hard triplet loss

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Real-time facial recognition with FaceNet

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A FaceNet based face verification model, which validates a claimed identity based on the image of a face, and either accepts or rejects the identity claim (one-to-one matching).

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github.com: /M155K4R4/facenet

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face recognition python work

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SmartCar Real Time FaceRecognition System - Driver/Passenger Face Id based on FaceNet and MTCNN Face Detection

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Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models

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Solve face verification, recognition and clustering problems: A TensorFlow backed FaceNet implementation for Node.js.

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Implement FaceNet and DeepFace models

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Bi thc hnh 1 - MachineLearning

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Lighter version of FaceNet

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github.com: /Anil1331/Facenet

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SmartCar Real Time FaceRecognition System - Driver/Passenger Face Id based on FaceNet and MTCNN Face Detection

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PyTorch implementation of the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering"

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Notes from the DeepLearning.AI courses

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SmartCar Real Time FaceRecognition System - Driver/Passenger Face Id based on FaceNet and MTCNN Face Detection

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github.com: /Maninder10/face

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A neural net trained over a person's personal photo collection to do face detection

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Deep Learning Models for Vision Tasks on iOS

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Built the tool to automate the process of class attendance. The tool successfully worked in camera mode for class of 30 and in image mode for class of 10.

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github.com: /RobotEdh/facenet

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Face detection and regognition using TensorFlow

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Identify humpback whale based on its fluke

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Face Recognition System using FaceNet

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Facial Recognition using Facenet

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One shot learning using FaceNet

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A PyTorch implementation of the Facenet model for face recognition. A port of facenet-darknet-inference to PyTorch.

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Implementation of face Recognition, Notebook was inspired by FaceNet paper <3

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Master Piece

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TensorFlow implementations of some deep learning papers

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Implementing Face recognition using Facenet Method(Siamese network) using pre trained weights from deeplearning.ai's repo.

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Face recognition using Tensorflow

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This is an implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering.

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Languages: Python Add/Edit

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Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

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Implementation of Face-recognition system using Inception Network and Siamese Network

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Real-time face detection and recognition using deep learning

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Using SigComp'11 dataset for signature verification

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Voice Biometrics Authentication using GMM and Face Recognition Using Facenet and Tensorflow

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A loss function based on the distances between anchor, positive and negative embeddings used in FaceNet

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NN1 network from FaceNet: A Unified Embedding for Face Recognition and Clustering, in Keras.

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Languages: JavaScript Add/Edit

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A face recognition application developed in JavaScript. It is a collaborative work of our project team.

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Implementation of Facial Recognition System Using Facenet based on One Shot Learning Using Siamese Networks

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Paper FaceNet: https://arxiv.org/pdf/1503.03832.pdf

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Live Face Verification using webcam used in identity verification and access control

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VRPWRP (Vision-algorithms Requests Processing Wrappers), a pip package for running deep-learning Computer Vision algorithms from the cloud.

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Basic face recognition using FaceNet and OpenCV

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A python application that uses Deep Learning to find the celebrity whose face matches the closest to yours. The input face is encoded with a pretrained inception model into a vector and then its geometric distance is calculated with the encoded vectors of all the images present in the dataset and the image with the least distance is selected.

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Languages: Python Add/Edit

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Face recognition using Facenet Model

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A light weight face recognition implementation using a pre-trained facenet model

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Languages: Swift Add/Edit

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顔パスプロジェクト

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TripletLoss criterion for Chainer

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Implementation of facial recognition using facenets.

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NN1 network from FaceNet: A Unified Embedding for Face Recognition and Clustering, in Keras.

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Face Classify and Detection

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Detect and Recognize human faces from videos using FaceNet

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ConvNet for face recognition

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Add the triplet loss layer and the corresponding data layer to an exited network(i.e., AlexNet) by Python

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github.com: /khrlimam/facenet

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FaceNet for face verification using pytorch

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Keras model trained using semi-hard triplet Loss (tensorflow function) on MNIST

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https://arxiv.org/pdf/1503.03832.pdf - Pytorch

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Getting a Application of face detection by Faster R-CNN & Facenet Architecture

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SmartCar Real Time FaceRecognition System - Driver/Passenger Face Id based on FaceNet and MTCNN Face Detection

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Languages: Python Add/Edit

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SmartCar Real Time FaceRecognition System - Driver/Passenger Face Id based on FaceNet and MTCNN Face Detection

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Languages: Python Add/Edit

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SmartCar Real Time FaceRecognition System - Driver/Passenger Face Id based on FaceNet and MTCNN Face Detection

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Languages: C++ Add/Edit

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This project is the integration of three real-time face detection functions, face recognition, age and gender detection.

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Languages: Python Add/Edit

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Real time face recognition system using Python, OpenCV and Keras

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Just creating real time face recognition with facenet

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face_recognition based on facenet

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This is a face recognition system for personal house use.

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