Tensorflow implementation for MobileFaceNet
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Updated
Jul 12, 2023 - Python
Tensorflow implementation for MobileFaceNet
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
基于人脸关键区域提取的人脸识别(LFW:99.82%+ CFP_FP:98.50%+ AgeDB30:98.25%+)
Deep Face Recognition in PyTorch
Pytorch实现的人脸识别明细MobileFaceNet模型,在预测使用MTCNN检测人脸,然后使用MobileFaceNet模型识别。
基于MTCNN和MobileFaceNet实现的人脸识别,提供三种预测方式,满足各种需求 。
PaddlePaddle实现的人脸识别模型MobileFaceNets,在预测的是使用MTCNN检测人脸,然后MobileFaceNets模型识别。
JARVIS — A Virtual Assistant For PC Users
implement mobilefacenet(including arcface layer)
The MXNet Implementation of ShuffleNet v1, v2 and MobileFaceNet
using yolo-v3 mobilefacenet to recognite faces and estimate age and gender
using mxnet gluon api build mobilefacenet model to training face data
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