yushenxiang / MachineLearningTips

this records what I have read and learned from papers or book about machine learning
2 stars 0 forks source link

Face Detect Recognition Verification #16

Open yushenxiang opened 6 years ago

yushenxiang commented 6 years ago

https://blog.csdn.net/mogebuyi/article/details/77692862 人脸识别:Deep Face Recognition论文阅读

yushenxiang commented 6 years ago

https://zhuanlan.zhihu.com/p/24837264 谷歌人脸识别系统FaceNet解析

https://blog.csdn.net/stdcoutzyx/article/details/46687471 FaceNet--Google的人脸识别

https://blog.csdn.net/qq_15192373/article/details/78490726 Facenet

https://www.cnblogs.com/dyufei/p/8250484.html TensorFlow环境 人脸识别 FaceNet 应用(一)验证测试集

FaceNet是用 https://blog.csdn.net/a13662080711/article/details/80335333

http://www.bubuko.com/infodetail-2401364.html facenet 代码阅读笔记:如何训练基于triplet-loss的模型

yushenxiang commented 6 years ago

https://blog.csdn.net/yuanchheneducn/article/details/51034463 DeepID1 DeepID2 DeepID2+ DeepID3

yushenxiang commented 6 years ago

https://blog.csdn.net/lff1208/article/details/77328357 MTCNN-将多任务级联卷积神经网络用于人脸检测和对齐

https://blog.csdn.net/qq_14845119/article/details/52680940 MTCNN(Multi-task convolutional neural networks)人脸对齐

https://blog.csdn.net/qq_30159015/article/details/79699855 MTCNN笔记

https://blog.csdn.net/u014380165/article/details/78906898 MTCNN算法及代码笔记

https://blog.csdn.net/sinat_24143931/article/details/78778656 基于NCNN的人脸检测MTCNN实现过程

yushenxiang commented 6 years ago

https://zhuanlan.zhihu.com/p/25025596 基于mtcnn和facenet的实时人脸检测与识别系统开发

yushenxiang commented 6 years ago

https://blog.csdn.net/u014380165/article/details/76946339 损失函数改进之Center Loss https://blog.csdn.net/u014230646/article/details/53764079 人脸识别(一)A Discriminative Feature Learning Approach for Deep Face Recognition https://blog.csdn.net/u014380165/article/details/71181256 softmax,softmax-loss,BP的解释

https://blog.csdn.net/u014380165/article/details/76864572 损失函数改进之Large-Margin Softmax Loss

https://blog.csdn.net/shaoxiaohu1/article/details/53325945 论文笔记】Large-Margin Softmax Loss for Convolutional Neural Networks

损失函数改进方法之A-softmax loss https://blog.csdn.net/sinat_24143931/article/details/79033521

https://www.cnblogs.com/heguanyou/p/7503025.html A-Softmax的总结及与L-Softmax的对比——SphereFace

https://blog.csdn.net/u014365862/article/details/79948612 CosFace中的cos loss(Large Margin Cosine Loss)实现(tensorflow)

https://blog.csdn.net/u014380165/article/details/80645489 ArcFace算法笔记

https://blog.csdn.net/fuwenyan/article/details/79657738 【论文理解】ArcFace: Additive Angular Margin Loss for Deep Face Recognition(InsightFace)

人脸识别-损失函数改进方法之L-softmax loss center-loss A-softmax loss focal loss https://blog.csdn.net/u011808673/article/details/80491361

https://blog.csdn.net/fire_light_/article/details/79602310 人脸识别系列(十六):AMSoftmax

https://blog.csdn.net/shaoxiaohu1/article/details/79139039 【论文笔记】Additive Margin Softmax for Face Verification

https://blog.csdn.net/yjy728/article/details/79730716 AM-Softmax的keras实现: 《Additive Margin Softmax for Face Verification》