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Chapter and Conference Paper
Teacher and Student Joint Learning for Compact Facial Landmark Detection Network
Compact neural networks with limited memory and computation are demanding in recently popularized mobile applications. The reduction of network parameters is an important priority. In this paper, we address a ...
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Chapter and Conference Paper
Convolution with Logarithmic Filter Groups for Efficient Shallow CNN
In convolutional neural networks (CNNs), the filter grou** in convolution layers is known to be useful to reduce the network parameter size. In this paper, we propose a new logarithmic filter grou** which ...