Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PET: An Eye-tracking Dataset for Animal-centric PASCAL Object Classes   We present the Pascal animal classes Eye Tracking database. Our database
comprises eye movement recordings compiled from forty users for the bird, cat,
cow, dog, horse and sheep {trainval} sets from the VOC 2012 image set.
Different from recent eye-tracking databases such as
\cite{kiwon_cvpr13_gaze,PapadopoulosCKF14}, a salient aspect of PET is that it
contains eye movements recorded for both the free-viewing and visual search
task conditions. While some differences in terms of overall gaze behavior and
scanning patterns are observed between the two conditions, a very similar
number of fixations are observed on target objects for both conditions. As a
utility application, we show how feature pooling around fixated locations
enables enhanced (animal) object classification accuracy.

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The categories of this paper are: chao-dyn
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The categories of this paper are: eess
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The categories of this paper are: nucl-ex
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The categories of this paper are: comp-gas
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The categories of this paper are: funct-an
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The categories of this paper are: q-alg
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The categories of this paper are: econ
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The categories of this paper are: hep-lat
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The categories of this paper are: plasm-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: cmp-lg
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-th
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The categories of this paper are: q-bio
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The categories of this paper are: alg-geom
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The categories of this paper are: nucl-th