Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Cross-Modality Paired-Images Generation for RGB-Infrared Person
  Re-Identification   RGB-Infrared (IR) person re-identification is very challenging due to the
large cross-modality variations between RGB and IR images. The key solution is
to learn aligned features to the bridge RGB and IR modalities. However, due to
the lack of correspondence labels between every pair of RGB and IR images, most
methods try to alleviate the variations with set-level alignment by reducing
the distance between the entire RGB and IR sets. However, this set-level
alignment may lead to misalignment of some instances, which limits the
performance for RGB-IR Re-ID. Different from existing methods, in this paper,
we propose to generate cross-modality paired-images and perform both global
set-level and fine-grained instance-level alignments. Our proposed method
enjoys several merits. First, our method can perform set-level alignment by
disentangling modality-specific and modality-invariant features. Compared with
conventional methods, ours can explicitly remove the modality-specific features
and the modality variation can be better reduced. Second, given cross-modality
unpaired-images of a person, our method can generate cross-modality paired
images from exchanged images. With them, we can directly perform instance-level
alignment by minimizing distances of every pair of images. Extensive
experimental results on two standard benchmarks demonstrate that the proposed
model favourably against state-of-the-art methods. Especially, on SYSU-MM01
dataset, our model can achieve a gain of 9.2% and 7.7% in terms of Rank-1 and
mAP. Code is available at https://github.com/wangguanan/JSIA-ReID.

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The categories of this paper are: eess
30
The categories of this paper are: q-alg
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The categories of this paper are: patt-sol
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The categories of this paper are: funct-an
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The categories of this paper are: stat
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The categories of this paper are: nlin
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The categories of this paper are: alg-geom
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The categories of this paper are: ao-sci
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The categories of this paper are: astro-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: q-fin
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The categories of this paper are: q-bio
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The categories of this paper are: adap-org
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The categories of this paper are: hep-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: mtrl-th