Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video
  Summarization   Traditional video summarization methods generate fixed video representations
regardless of user interest. Therefore such methods limit users' expectations
in content search and exploration scenarios. Multi-modal video summarization is
one of the methods utilized to address this problem. When multi-modal video
summarization is used to help video exploration, a text-based query is
considered as one of the main drivers of video summary generation, as it is
user-defined. Thus, encoding the text-based query and the video effectively are
both important for the task of multi-modal video summarization. In this work, a
new method is proposed that uses a specialized attention network and
contextualized word representations to tackle this task. The proposed model
consists of a contextualized video summary controller, multi-modal attention
mechanisms, an interactive attention network, and a video summary generator.
Based on the evaluation of the existing multi-modal video summarization
benchmark, experimental results show that the proposed model is effective with
the increase of +5.88% in accuracy and +4.06% increase of F1-score, compared
with the state-of-the-art method.

12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
7
The categories of this paper are: hep-th
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int