Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Recurrent Back-Projection Network for Video Super-Resolution   We proposed a novel architecture for the problem of video super-resolution.
We integrate spatial and temporal contexts from continuous video frames using a
recurrent encoder-decoder module, that fuses multi-frame information with the
more traditional, single frame super-resolution path for the target frame. In
contrast to most prior work where frames are pooled together by stacking or
warping, our model, the Recurrent Back-Projection Network (RBPN) treats each
context frame as a separate source of information. These sources are combined
in an iterative refinement framework inspired by the idea of back-projection in
multiple-image super-resolution. This is aided by explicitly representing
estimated inter-frame motion with respect to the target, rather than explicitly
aligning frames. We propose a new video super-resolution benchmark, allowing
evaluation at a larger scale and considering videos in different motion
regimes. Experimental results demonstrate that our RBPN is superior to existing
methods on several datasets.

16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat