Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PH-GCN: Person Re-identification with Part-based Hierarchical Graph
  Convolutional Network   The person re-identification (Re-ID) task requires to robustly extract
feature representations for person images. Recently, part-based representation
models have been widely studied for extracting the more compact and robust
feature representations for person images to improve person Re-ID results.
However, existing part-based representation models mostly extract the features
of different parts independently which ignore the relationship information
between different parts. To overcome this limitation, in this paper we propose
a novel deep learning framework, named Part-based Hierarchical Graph
Convolutional Network (PH-GCN) for person Re-ID problem. Given a person image,
PH-GCN first constructs a hierarchical graph to represent the pairwise
relationships among different parts. Then, both local and global feature
learning are performed by the messages passing in PH-GCN, which takes other
nodes information into account for part feature representation. Finally, a
perceptron layer is adopted for the final person part label prediction and
re-identification. The proposed framework provides a general solution that
integrates local, global and structural feature learning simultaneously in a
unified end-to-end network. Extensive experiments on several benchmark datasets
demonstrate the effectiveness of the proposed PH-GCN based Re-ID approach.

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The categories of this paper are: cmp-lg
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The categories of this paper are: gr-qc
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The categories of this paper are: econ
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The categories of this paper are: q-fin
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The categories of this paper are: adap-org
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The categories of this paper are: chao-dyn
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The categories of this paper are: physics
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The categories of this paper are: stat
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The categories of this paper are: hep-th
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The categories of this paper are: q-bio
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The categories of this paper are: funct-an
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The categories of this paper are: atom-ph
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The categories of this paper are: q-alg
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The categories of this paper are: ao-sci
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The categories of this paper are: nucl-th
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The categories of this paper are: patt-sol