Gaussian Transfer Convolutional Neural Networks.

IEEE Transactions on Emerging Topics in Computational Intelligence(2019)

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摘要
In deep convolutional neural networks (DCNN), the pooling operation is usually adopted to produce condensed and transformation invariant feature maps for the input image. However, it will inevitably induce information loss, which has not be addressed yet in designing filters of DCNNs. In this paper, we propose Gaussian transfer convolutional neural networks (GT-CNN), which introduce Gaussian filte...
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关键词
Convolution,Task analysis,Kernel,Convolutional neural networks,Feature extraction,Computational modeling,Training
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