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Caffe Face

This branch is developed for deep face recognition

Features

  • Face Manipulation - Center loss for discriminative face generation.
  • Face Recognition - Discriminative feature learning using center loss.
  • Face Recognition Models - Discriminative feature learning using center loss for deep recognition.

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常见问题解答

ydwen/caffe-face 是做什么的?

This branch is developed for deep face recognition

ydwen/caffe-face 的主要功能有哪些?

ydwen/caffe-face 的主要功能包括:Face Manipulation, Face Recognition, Face Recognition Models。

ydwen/caffe-face 有哪些开源替代品?

ydwen/caffe-face 的开源替代品包括: happynear/normface — NormFace: L2 HyperSphere Embedding for Face Verification. wy1iu/sphereface — Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17. deepinsight/insightface — InsightFace is a comprehensive deep learning framework designed for face recognition, biometric identity verification,… happynear/amsoftmax — by Feng Wang, Weiyang Liu, Haijun Liu, Jian Cheng. davidsandberg/facenet — FaceNet is a facial recognition framework designed to transform facial images into high-dimensional numerical… bradyfu/dvg — A PyTorch code of paper Dual Variational Generation for Low Shot Heterogeneous Face Recognition.

Caffe Face 的开源替代方案

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    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

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  • happynear/amsoftmaxhappynear 的头像

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  • davidsandberg/facenetdavidsandberg 的头像

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    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

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  • happynear/normfacehappynear 的头像

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