Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DeepStyle: Multimodal Search Engine for Fashion and Interior Design   In this paper, we propose a multimodal search engine that combines visual and
textual cues to retrieve items from a multimedia database aesthetically similar
to the query. The goal of our engine is to enable intuitive retrieval of
fashion merchandise such as clothes or furniture. Existing search engines treat
textual input only as an additional source of information about the query image
and do not correspond to the real-life scenario where the user looks for 'the
same shirt but of denim'. Our novel method, dubbed DeepStyle, mitigates those
shortcomings by using a joint neural network architecture to model contextual
dependencies between features of different modalities. We prove the robustness
of this approach on two different challenging datasets of fashion items and
furniture where our DeepStyle engine outperforms baseline methods by 18-21% on
the tested datasets. Our search engine is commercially deployed and available
through a Web-based application.

16
The categories of this paper are: stat
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org
20
The categories of this paper are: acc-phys
23
The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin