Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Commands 4 Autonomous Vehicles (C4AV) Workshop Summary   The task of visual grounding requires locating the most relevant region or
object in an image, given a natural language query. So far, progress on this
task was mostly measured on curated datasets, which are not always
representative of human spoken language. In this work, we deviate from recent,
popular task settings and consider the problem under an autonomous vehicle
scenario. In particular, we consider a situation where passengers can give
free-form natural language commands to a vehicle which can be associated with
an object in the street scene. To stimulate research on this topic, we have
organized the \emph{Commands for Autonomous Vehicles} (C4AV) challenge based on
the recent \emph{Talk2Car} dataset (URL:
https://www.aicrowd.com/challenges/eccv-2020-commands-4-autonomous-vehicles).
This paper presents the results of the challenge. First, we compare the used
benchmark against existing datasets for visual grounding. Second, we identify
the aspects that render top-performing models successful, and relate them to
existing state-of-the-art models for visual grounding, in addition to detecting
potential failure cases by evaluating on carefully selected subsets. Finally,
we discuss several possibilities for future work.

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The categories of this paper are: supr-con
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The categories of this paper are: q-bio
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The categories of this paper are: cmp-lg
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The categories of this paper are: econ
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The categories of this paper are: chao-dyn
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The categories of this paper are: gr-qc
3
The categories of this paper are: physics
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The categories of this paper are: nucl-ex
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The categories of this paper are: funct-an
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The categories of this paper are: bayes-an
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The categories of this paper are: patt-sol
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The categories of this paper are: adap-org
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The categories of this paper are: alg-geom
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The categories of this paper are: solv-int
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The categories of this paper are: quant-ph
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The categories of this paper are: eess