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Therefore, there are 1024 parallel sparse prior constraint layers in this anchored neighborhood layer.
To each input low-frequency feature vector, the anchored neighborhood layer will anchor it to one dictionary atom that will activate the corresponding sub-convolution layer.
Since the parameters of the anchored neighborhood layer are fixed by the projection matrix trained offline, we mainly investigate different settings at the deep integration subnetwork.
That is, each sub-convolution layer with respect to an atom in the anchored neighborhood layer is a sparse prior constraint convolution layer.
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For the verification network, Ahmed et al. [35] added the neighborhood difference layer and the subsequent layer to compare convolutional features in the patch level and summarize the neighborhood differences of each patch.
Therefore, it is sure that our anchored neighborhood convolution layer can predict the accurate image in high frequency for the later layer to further refine.
Fig. 2 Illustration of the anchored neighborhood convolution layer.
The anchored neighborhood convolution layer is outlined in Fig. 2.
Combination The anchored neighborhood convolution layer outputs the initial high-frequency details for each low-resolution patch.
This neighborhood is layered with attempts at 'Now we're going to do it!' 'Here it comes!' There was the Food Basket, where I used to work as a kid.
The existence of discrete spectrum below the essential spectrum is deduced for the Dirichlet Laplacian on tubular neighborhoods (or layers) about hypersurfaces in Rn+1, with various geometric conditions imposed.
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