Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Efficient Network Design for Face Video Super-resolution   Face video super-resolution algorithm aims to reconstruct realistic face
details through continuous input video sequences. However, existing video
processing algorithms usually contain redundant parameters to guarantee
different super-resolution scenes. In this work, we focus on super-resolution
of face areas in original video scenes, while rest areas are interpolated. This
specific super-resolved task makes it possible to cut redundant parameters in
general video super-resolution networks. We construct a dataset consisting
entirely of face video sequences for network training and evaluation, and
conduct hyper-parameter optimization in our experiments. We use three combined
strategies to optimize the network parameters with a simultaneous
train-evaluation method to accelerate optimization process. Results show that
simultaneous train-evaluation method improves the training speed and
facilitates the generation of efficient networks. The generated network can
reduce at least 52.4% parameters and 20.7% FLOPs, achieve better performance on
PSNR, SSIM compared with state-of-art video super-resolution algorithms. When
processing 36x36x1x3 input video frame sequences, the efficient network
provides 47.62 FPS real-time processing performance. We name our proposal as
hyper-parameter optimization for face Video Super-Resolution (HO-FVSR), which
is open-sourced at https://github.com/yphone/efficient-network-for-face-VSR.

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The categories of this paper are: cond-mat
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The categories of this paper are: dg-ga
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The categories of this paper are: quant-ph
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The categories of this paper are: math
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The categories of this paper are: atom-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: hep-ph
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The categories of this paper are: physics
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The categories of this paper are: astro-ph
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The categories of this paper are: hep-th
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The categories of this paper are: cmp-lg
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The categories of this paper are: nucl-ex
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The categories of this paper are: stat
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The categories of this paper are: funct-an
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The categories of this paper are: hep-ex
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The categories of this paper are: patt-sol