人脸识别 朱雀 2022-07-16 10:12 321阅读 0赞 ## 人脸检测 ## [长文干货！走近人脸检测：从 VJ 到深度学习（上）][VJ] [长文干货！走近人脸检测：从VJ到深度学习（下）][VJ 1] [【Caffe实践】基于Caffe的人脸检测实现][Caffe_Caffe] [人脸检测——DDFD][DDFD] [人脸检测——CascadeCNN][CascadeCNN] [CascadeCNN人脸检测学习笔记][CascadeCNN 1] [python批量预处理图片（CascadeCNN训练前期预处理）][python_CascadeCNN] [CascadeCNN python测试程序详解（test.py）][CascadeCNN python_test.py] [人脸检测——xiaomi][xiaomi] [人脸检测——UnitBox][UnitBox] [人脸检测——HyperFace][HyperFace] [人脸检测——MTCNN][MTCNN] [人脸检测——Compact CascadeCNN][Compact CascadeCNN] [人脸检测——STN][STN] [Dlib + VS2013 人脸检测，无需CMAKE][Dlib _ VS2013 _CMAKE] [【dlib代码解读】人脸检测器的训练][dlib] [深度学习入门学习:Multi-view Face Detection Using Deep Convolutional Neural Networks][Multi-view Face Detection Using Deep Convolutional Neural Networks] [From Facial Parts Responses to Face Detection: A Deep Learning Approach][From Facial Parts Responses to Face Detection_ A Deep Learning Approach] [【论文笔记】From Facial Parts Responses to Face Detection（ICCV 2015）][From Facial Parts Responses to Face Detection_ICCV 2015] [人脸检测研究2015最新进展][2015] [A Discriminative Feature Learning Approach for Deep Face Recognition, ECCV16.][A Discriminative Feature Learning Approach for Deep Face Recognition_ ECCV16.] [Multi-view Face Detection Using Deep Convolutional Neural Networks, ICMR 15.][Multi-view Face Detection Using Deep Convolutional Neural Networks_ ICMR 15.] [Bootstrapping Face Detection with Hard Negative Examples，arxiv 16.08][Bootstrapping Face Detection with Hard Negative Examples_arxiv 16.08] ## 人脸对齐/关键点定位 ## SDM [【Caffe实践】基于Caffe的人脸关键点检测实现][Caffe_Caffe 1] https://github.com/RiweiChen/DeepFace [Face Alignment at 3000 FPS 阅读笔记][Face Alignment at 3000 FPS] [浅谈随机森林在人脸对齐上的应用~][Link 1] [Facial keypoints extraction using Caffe][] [Using convolutional neural nets to detect facial keypoints tutorial][] [深度学习（十五）基于级联卷积神经网络的人脸特征点定位-CVPR 2013][-CVPR 2013] [深度学习（十七）基于改进Coarse-to-fine CNN网络的人脸特征点定位-ICCV 2013][Coarse-to-fine CNN_-ICCV 2013] [人脸关键点检测-递归编解码网络][-] [面部特征点检测 facial keypoints tutorial][facial keypoints tutorial] [人脸对齐 资料][Link 2] [【dlib代码解读】人脸关键点检测器的训练][dlib 1] [CNN人脸关键点检测][CNN] ## 人脸识别 ## [人脸识别必读的N篇文章][N] [人脸识别技术总结][Link 3] [人脸识别之特征脸方法（Eigenface）][Eigenface] [PLDA简介][PLDA] [【Caffe实践】基于Caffe的人脸识别实现][Caffe_Caffe 2] [【深度学习论文笔记】Learning Deep Face Representation][Learning Deep Face Representation] [【深度学习论文笔记】FaceNet: A Unified Embedding for Face Recognition and Clustering][FaceNet_ A Unified Embedding for Face Recognition and Clustering] [【深度学习论文笔记】Deep Learning Face Representation from Predicting 10,000 Classes][Deep Learning Face Representation from Predicting 10_000 Classes] [人脸识别：PairLoss][PairLoss] [人脸识别——DSIFT+Fisher Vecttor Coding][DSIFT_Fisher Vecttor Coding] [vgg\_face人脸识别][vgg_face] [DeepID1,DeepID2,DeepID2+,DeepID3][DeepID1_DeepID2_DeepID2_DeepID3] [DeepID人脸识别算法之三代][DeepID] [DeepID算法实践][DeepID 1] [DeepID2——强大的人脸分类算法][DeepID2] [使用Caffe尝试DeepID][Caffe_DeepID] [基于Caffe的DeepID2实现（上）][Caffe_DeepID2] [基于Caffe的DeepID2实现（中） ][Caffe_DeepID2_][ ][Caffe_DeepID2_][基于Caffe的DeepID2实现（下）][Caffe_DeepID2 1] [使用Caffe尝试DeepID][Caffe_DeepID] [DeepFace--Facebook的人脸识别][DeepFace--Facebook] [FaceNet--Google的人脸识别][FaceNet--Google] [剪枝+再训练：稀疏化DeepID2][DeepID2 1] [人脸识别中的 alignment 是什么意思，怎么操作？][alignment] [cnn进行人脸方面的研究时，经常需要检测出人脸，对齐人脸，crop人脸，我想知道有没有这三步的开源代码？][cnn_crop] [深度学习与人脸识别系列（4）\_\_利用caffe训练深度学习模型][4_caffe] [深度学习与人脸识别系列（5）\_\_vgg人脸识别模型测试][5_vgg] [深度学习与人脸识别系列（6）\_\_利用训练好的vgg模型进行人脸识别(利用摄像头)][6_vgg] http://blog.csdn.net/SMF0504/article/category/6206741 [CVPR2016 论文快讯：人脸专题][CVPR2016] [【深度学习论文笔记】Recover Canonical-View Faces in the Wild with Deep Neural Network][Recover Canonical-View Faces in the Wild with Deep Neural Network] [【机器学习实践】Kaggle 之 Face Verification Challenge练手][Kaggle _ Face Verification Challenge] [【机器学习实践】人脸识别模型结果对比][Link 4] TSNE可视化 ## 人脸美妆 ## [IJCAI16论文速读：人脸自动美妆与深度哈希][IJCAI16] [深度学习的应用——快速变脸的实现][Link 5] [公开人脸数据集][Link 6] [FDDB人脸检测测评数据集介绍][FDDB] [表情识别数据][Link 7] [DeepID人脸识别算法之三代][DeepID] [DeepID算法实践][DeepID 1] [DeepID2——强大的人脸分类算法][DeepID2] [使用Caffe尝试DeepID][Caffe_DeepID] [基于Caffe的DeepID2实现（上）][Caffe_DeepID2] [基于Caffe的DeepID2实现（中） ][Caffe_DeepID2_][ ][Caffe_DeepID2_][基于Caffe的DeepID2实现（下）][Caffe_DeepID2 1] [使用Caffe尝试DeepID][Caffe_DeepID] [DeepFace--Facebook的人脸识别][DeepFace--Facebook] [FaceNet--Google的人脸识别][FaceNet--Google] [剪枝+再训练：稀疏化DeepID2][DeepID2 1] [VJ]: http://mp.weixin.qq.com/s/4_v-JMxXXXYfN9XdPWU8XA [VJ 1]: http://mp.weixin.qq.com/s/-HwdU61DHlltuTekkkePew [Caffe_Caffe]: http://blog.csdn.net/chenriwei2/article/details/50321085 [DDFD]: http://blog.csdn.net/shuzfan/article/details/49825751 [CascadeCNN]: http://blog.csdn.net/shuzfan/article/details/50358809 [CascadeCNN 1]: http://blog.csdn.net/xzzppp/article/details/51692907 [python_CascadeCNN]: http://blog.csdn.net/xzzppp/article/details/51833398 [CascadeCNN python_test.py]: http://blog.csdn.net/xzzppp/article/details/51867544 [xiaomi]: http://blog.csdn.net/shuzfan/article/details/52620095 [UnitBox]: http://blog.csdn.net/shuzfan/article/details/52625449 [HyperFace]: http://blog.csdn.net/shuzfan/article/details/52636543 [MTCNN]: http://blog.csdn.net/shuzfan/article/details/52668935 [Compact CascadeCNN]: http://blog.csdn.net/shuzfan/article/details/52679532 [STN]: http://blog.csdn.net/shuzfan/article/details/52701883 [Dlib _ VS2013 _CMAKE]: http://blog.csdn.net/shuzfan/article/details/52149882 [dlib]: http://blog.csdn.net/elaine_bao/article/details/53046542 [Multi-view Face Detection Using Deep Convolutional Neural Networks]: http://blog.csdn.net/liyaohhh/article/details/50810238 [From Facial Parts Responses to Face Detection_ A Deep Learning Approach]: http://blog.csdn.net/xyy19920105/article/details/50814703 [From Facial Parts Responses to Face Detection_ICCV 2015]: http://blog.csdn.net/elaine_bao/article/details/50255091 [2015]: http://blog.csdn.net/mmmmmttttff/article/details/50894489 [A Discriminative Feature Learning Approach for Deep Face Recognition_ ECCV16.]: http://blog.csdn.net/zimenglan_sysu/article/details/52963231 [Multi-view Face Detection Using Deep Convolutional Neural Networks_ ICMR 15.]: http://blog.csdn.net/zimenglan_sysu/article/details/52186121 [Bootstrapping Face Detection with Hard Negative Examples_arxiv 16.08]: http://blog.csdn.net/zimenglan_sysu/article/details/52214052 [Caffe_Caffe 1]: http://blog.csdn.net/chenriwei2/article/details/49706563 [Face Alignment at 3000 FPS]: http://blog.csdn.net/huangynn/article/details/51734333 [Link 1]: http://blog.csdn.net/wsj998689aa/article/details/45204599 [Facial keypoints extraction using Caffe]: https://link.zhihu.com/?target=http%3A//corpocrat.com/2015/02/24/facial-keypoints-extraction-using-deep-learning-with-caffe/ [Using convolutional neural nets to detect facial keypoints tutorial]: https://link.zhihu.com/?target=http%3A//danielnouri.org/notes/2014/12/17/using-convolutional-neural-nets-to-detect-facial-keypoints-tutorial/ [-CVPR 2013]: http://blog.csdn.net/hjimce/article/details/49955149 [Coarse-to-fine CNN_-ICCV 2013]: http://blog.csdn.net/hjimce/article/details/50099115 [-]: http://blog.csdn.net/shuzfan/article/details/52438910 [facial keypoints tutorial]: http://blog.csdn.net/taneijia/article/details/46482031 [Link 2]: http://blog.csdn.net/mmmmmttttff/article/details/53064005 [dlib 1]: http://blog.csdn.net/elaine_bao/article/details/53054533 [CNN]: http://blog.csdn.net/real_myth/article/details/52804722 [N]: http://blog.sina.com.cn/s/blog_6ae183910101h4jr.html [Link 3]: http://blog.csdn.net/tiandijun/article/details/44975065 [Eigenface]: http://blog.csdn.net/zouxy09/article/details/45276053 [PLDA]: http://blog.csdn.net/shuzfan/article/details/51672050 [Caffe_Caffe 2]: http://blog.csdn.net/chenriwei2/article/details/49500687 [Learning Deep Face Representation]: http://blog.csdn.net/chenriwei2/article/details/39555653 [FaceNet_ A Unified Embedding for Face Recognition and Clustering]: http://blog.csdn.net/chenriwei2/article/details/45031677 [Deep Learning Face Representation from Predicting 10_000 Classes]: http://blog.csdn.net/chenriwei2/article/details/31415069 [PairLoss]: http://blog.csdn.net/shuzfan/article/details/51525721 [DSIFT_Fisher Vecttor Coding]: http://blog.csdn.net/shuzfan/article/details/51556258 [vgg_face]: http://www.cnblogs.com/venus024/p/5680587.html [DeepID1_DeepID2_DeepID2_DeepID3]: http://www.cnblogs.com/venus024/p/5632243.html [DeepID]: http://blog.csdn.net/stdcoutzyx/article/details/42091205 [DeepID 1]: http://blog.csdn.net/stdcoutzyx/article/details/45570221 [DeepID2]: http://blog.csdn.net/stdcoutzyx/article/details/41497545 [Caffe_DeepID]: http://blog.csdn.net/a_1937/article/details/50334919 [Caffe_DeepID2]: http://www.cnblogs.com/idiotgroup/p/5676344.html [Caffe_DeepID2_]: http://www.cnblogs.com/idiotgroup/p/5676373.html [Caffe_DeepID2 1]: http://www.cnblogs.com/idiotgroup/p/5676527.html [DeepFace--Facebook]: http://blog.csdn.net/stdcoutzyx/article/details/46776415 [FaceNet--Google]: http://blog.csdn.net/stdcoutzyx/article/details/46687471 [DeepID2 1]: http://blog.csdn.net/shuzfan/article/details/51700584 [alignment]: http://caffecn.cn/?/question/69 [cnn_crop]: http://caffecn.cn/?/question/119 [4_caffe]: http://blog.csdn.net/wjmishuai/article/details/50854162 [5_vgg]: http://blog.csdn.net/wjmishuai/article/details/50854168 [6_vgg]: http://blog.csdn.net/wjmishuai/article/details/50854178 [CVPR2016]: https://zhuanlan.zhihu.com/p/22023527 [Recover Canonical-View Faces in the Wild with Deep Neural Network]: http://blog.csdn.net/chenriwei2/article/details/31739721 [Kaggle _ Face Verification Challenge]: http://blog.csdn.net/chenriwei2/article/details/50321627 [Link 4]: http://blog.csdn.net/chenriwei2/article/details/50074291 [IJCAI16]: http://mp.weixin.qq.com/s/iAa5YhGgA5u-98zOYhNpQw [Link 5]: http://blog.csdn.net/u010402786/article/details/53421793 [Link 6]: http://blog.csdn.net/chenriwei2/article/details/50631212 [FDDB]: http://blog.csdn.net/xzzppp/article/details/51779359 [Link 7]: http://blog.csdn.net/mmmmmttttff/article/details/51442893
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