《A Discriminative Feature Learning Approach for Deep Face Recognition》 一种用于深度人脸识别的判别性特征学习方法 作者 Yandong Wen、Kaipeng Zhang、Zhifeng Li 和 Yu Qiao 来自深圳市计算机视觉与专利重点实验室、中国科学院深圳先进技术研究院和香港中文大学 初读 摘要 卷积神经网络(CNNs)在计算机视觉领域被广泛...
Based on this, this paper aims to optimize the existing face recognition algorithm, study the face recognition method driven by big data, and propose a deep learning multi feature fusion face recognition algorithm driven by big data. First, for the problem that 2DPCA (Two-dimensional Principle ...
Based on this, the research proposes a multi-task face recognition algorithm by combining multi-task deep learning on the basis of convolutional neural network, and analyzes its performance in four dimensions of face identity, age, gender, and fatigue state. The experi...
普通的verification验证任务只需要一张图片和一个ID匹配上就1,匹配不上就1。但是recognition识别还需要判断和正确的匹配得上还有其他的匹配不上。那么,验证任务你做到一百个样本有99%的识别度,对于识别任务你要对其他的图片也进行匹配。你的准确度就要求高了非常多,你对一百个样本除了真样本,还有假样本都要判断正确,...
原文: A Discriminative Feature Learning Approach for Deep Face Recognition 用于人脸识别的center loss。 1)同时学习每个类的深度特征的中心点 2)对深度特征和其对应的类中心的距离有一定的惩罚 提出的center loss函数在CNN中可以训练并且很容易优化。
Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow - wushuhan/deepface
Python & Deep Learning 101 Assignment #2. Contribute to taoky/anime-face-recognition development by creating an account on GitHub.
2015---EmotioNet_ An accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild 2015---Face++---Naive-Deep Face Recognition_Touching the Limit of LFW Benchmark or Not 2015---FaceNet---FaceNet_A Unified Embedding for Face Recognition and Clustering-...
M Kan,S Shan,X Chen - Computer Vision & Pattern Recognition 被引量: 52发表: 2016年 Pose-Robust and Discriminative Feature Representation by Multi-task Deep Learning for Multi-view Face Recognition Pose-robust and discriminative feature representation by multi-task deep learning for multi-view face...
Use these encodings to perform face verification and face recognition 2 - Import Packages fromkeras.modelsimportSequentialfromkeras.layersimportConv2D, ZeroPadding2D, Activation, Input, concatenatefromkeras.modelsimportModelfromkeras.layers.normalizationimportBatchNormalizationfromkeras.layers.poolingimportMaxPoolin...