Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Two-stream Hierarchical Similarity Reasoning for Image-text Matching   Reasoning-based approaches have demonstrated their powerful ability for the
task of image-text matching. In this work, two issues are addressed for
image-text matching. First, for reasoning processing, conventional approaches
have no ability to find and use multi-level hierarchical similarity
information. To solve this problem, a hierarchical similarity reasoning module
is proposed to automatically extract context information, which is then
co-exploited with local interaction information for efficient reasoning.
Second, previous approaches only consider learning single-stream similarity
alignment (i.e., image-to-text level or text-to-image level), which is
inadequate to fully use similarity information for image-text matching. To
address this issue, a two-stream architecture is developed to decompose
image-text matching into image-to-text level and text-to-image level similarity
computation. These two issues are investigated by a unifying framework that is
trained in an end-to-end manner, namely two-stream hierarchical similarity
reasoning network. The extensive experiments performed on the two benchmark
datasets of MSCOCO and Flickr30K show the superiority of the proposed approach
as compared to existing state-of-the-art methods.

4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci