Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Domain Adaptation in Multi-View Embedding for Cross-Modal Video
  Retrieval   Given a gallery of uncaptioned video sequences, this paper considers the task
of retrieving videos based on their relevance to an unseen text query. To
compensate for the lack of annotations, we rely instead on a related video
gallery composed of video-caption pairs, termed the source gallery, albeit with
a domain gap between its videos and those in the target gallery. We thus
introduce the problem of Unsupervised Domain Adaptation for Cross-modal Video
Retrieval, along with a new benchmark on fine-grained actions. We propose a
novel iterative domain alignment method by means of pseudo-labelling target
videos and cross-domain (i.e. source-target) ranking. Our approach adapts the
embedding space to the target gallery, consistently outperforming source-only
as well as marginal and conditional alignment methods.

21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat
28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math