Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: EDEN: Deep Feature Distribution Pooling for Saimaa Ringed Seals Pattern
  Matching   In this paper, pelage pattern matching is considered to solve the individual
re-identification of the Saimaa ringed seals. Animal re-identification together
with the access to large amount of image material through camera traps and
crowd-sourcing provide novel possibilities for animal monitoring and
conservation. We propose a novel feature pooling approach that allow
aggregating the local pattern features to get a fixed size embedding vector
that incorporate global features by taking into account the spatial
distribution of features. This is obtained by eigen decomposition of
covariances computed for probability mass functions representing feature maps.
Embedding vectors can then be used to find the best match in the database of
known individuals allowing animal re-identification. The results show that the
proposed pooling method outperforms the existing methods on the challenging
Saimaa ringed seal image data.

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The categories of this paper are: funct-an
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The categories of this paper are: adap-org
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The categories of this paper are: bayes-an
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The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
18
The categories of this paper are: econ
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The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
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The categories of this paper are: math-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: hep-th
3
The categories of this paper are: physics
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The categories of this paper are: nucl-ex
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The categories of this paper are: atom-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: stat