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NormFace: L2 HyperSphere Embedding for Face Verification
The main features of happynear/normface are: Face Manipulation, Face Recognition, Face Recognition Models, Face Recognition Research.
Projects with overlapping indexed features include: happynear/amsoftmax — by Feng Wang, Weiyang Liu, Haijun Liu, Jian Cheng. wy1iu/sphereface — Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17. davidsandberg/facenet — FaceNet is a facial recognition framework designed to transform facial images into high-dimensional numerical… deepinsight/insightface — InsightFace is a comprehensive deep learning framework designed for face recognition, biometric identity verification,… ydwen/caffe-face — This branch is developed for deep face recognition. cyh24/joint-bayesian — Download from the Websit: http://home.ustc.edu.cn/~chendong/JointBayesian/.
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
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
Implementation for in CVPR'17.
