Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Robust Multilevel Semantic Cross-Modal Hashing   Hashing based cross-modal retrieval has recently made significant progress.
But straightforward embedding data from different modalities into a joint
Hamming space will inevitably produce false codes due to the intrinsic modality
discrepancy and noises. We present a novel Robust Multilevel Semantic Hashing
(RMSH) for more accurate cross-modal retrieval. It seeks to preserve
fine-grained similarity among data with rich semantics, while explicitly
require distances between dissimilar points to be larger than a specific value
for strong robustness. For this, we give an effective bound of this value based
on the information coding-theoretic analysis, and the above goals are embodied
into a margin-adaptive triplet loss. Furthermore, we introduce pseudo-codes via
fusing multiple hash codes to explore seldom-seen semantics, alleviating the
sparsity problem of similarity information. Experiments on three benchmarks
show the validity of the derived bounds, and our method achieves
state-of-the-art performance.

20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
28
The categories of this paper are: alg-geom
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
10
The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex
13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
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The categories of this paper are: eess
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
5
The categories of this paper are: gr-qc