Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Node Specificity in Convolutional Deep Nets Depends on Receptive Field
  Position and Size   In convolutional deep neural networks, receptive field (RF) size increases
with hierarchical depth. When RF size approaches full coverage of the input
image, different RF positions result in RFs with different specificity, as
portions of the RF fall out of the input space. This leads to a departure from
the convolutional concept of positional invariance and opens the possibility
for complex forms of context specificity.

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The categories of this paper are: stat
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The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
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The categories of this paper are: q-fin
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The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
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The categories of this paper are: econ
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The categories of this paper are: hep-ex
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The categories of this paper are: quant-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: q-bio
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The categories of this paper are: physics
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The categories of this paper are: hep-lat