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This branch is developed for deep face recognition
Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
An implemention of paper by GTX 860m and tensorflow
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
caffe 68 points face-landmark
脸部识别 人眼特征检测 活体检测 人脸旋转与侧脸拉正
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
Multi-view Face Detection Using Deep Convolutional Neural Networks
implement center loss operator for mxnet
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