Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A CLIP-Enhanced Method for Video-Language Understanding   This technical report summarizes our method for the Video-And-Language
Understanding Evaluation (VALUE) challenge
(https://value-benchmark.github.io/challenge\_2021.html). We propose a
CLIP-Enhanced method to incorporate the image-text pretrained knowledge into
downstream video-text tasks. Combined with several other improved designs, our
method outperforms the state-of-the-art by $2.4\%$ ($57.58$ to $60.00$)
Meta-Ave score on VALUE benchmark.

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The categories of this paper are: q-bio
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The categories of this paper are: plasm-ph
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The categories of this paper are: solv-int
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The categories of this paper are: q-fin
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The categories of this paper are: astro-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: acc-phys
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The categories of this paper are: funct-an
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The categories of this paper are: nlin
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: ao-sci
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The categories of this paper are: stat
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The categories of this paper are: econ