论文解析《Deep Convolutional Neural Network Features and the Original Image》
这一篇论文详细分析了人脸识别中CNN网络提取到的features有一些什么样的性质，一般人脸识别中CNN出来后面接一个线性层用交叉熵来分类，这里的features值得就是cnn出来的512或者128维的浮点数组。 文章首先用这个features作为输入，使用LDA来分类，预测头部姿态Yaw,Pitch，和图像媒介，得到下面的结果，可以看到，embeding features还是包含反映面部姿态和原
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相关文章
- 1. 论文解析《Deep Convolutional Neural Network Features and the Original Image》
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