Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Memory Regulation and Alignment toward Generalizer RGB-Infrared Person   The domain shift, coming from unneglectable modality gap and non-overlapped
identity classes between training and test sets, is a major issue of
RGB-Infrared person re-identification. A key to tackle the inherent issue --
domain shift -- is to enforce the data distributions of the two domains to be
similar. However, RGB-IR ReID always demands discriminative features, leading
to over-rely feature sensitivity of seen classes, \textit{e.g.}, via
attention-based feature alignment or metric learning. Therefore, predicting the
unseen query category from predefined training classes may not be accurate and
leads to a sub-optimal adversarial gradient. In this paper, we uncover it in a
more explainable way and propose a novel multi-granularity memory regulation
and alignment module (MG-MRA) to solve this issue. By explicitly incorporating
a latent variable attribute, from fine-grained to coarse semantic granularity,
into intermediate features, our method could alleviate the over-confidence of
the model about discriminative features of seen classes. Moreover, instead of
matching discriminative features by traversing nearest neighbor, sparse
attributes, \textit{i.e.}, global structural pattern, are recollected with
respect to features and assigned to measure pair-wise image similarity in
hashing. Extensive experiments on RegDB \cite{RegDB} and SYSU-MM01 \cite{SYSU}
show the superiority of the proposed method that outperforms existing
state-of-the-art methods. Our code is available in
https://github.com/Chenfeng1271/MGMRA.

20
The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
0
The categories of this paper are: hep-ph
19
The categories of this paper are: eess
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org
9
The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph