Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Object Detection with Convolutional Neural Networks   In this chapter, we present a brief overview of the recent development in
object detection using convolutional neural networks (CNN). Several classical
CNN-based detectors are presented. Some developments are based on the detector
architectures, while others are focused on solving certain problems, like model
degradation and small-scale object detection. The chapter also presents some
performance comparison results of different models on several benchmark
datasets. Through the discussion of these models, we hope to give readers a
general idea about the developments of CNN-based object detection.

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The categories of this paper are: funct-an
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The categories of this paper are: econ
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The categories of this paper are: q-fin
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The categories of this paper are: quant-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: eess
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The categories of this paper are: chao-dyn
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The categories of this paper are: dg-ga
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-ex
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The categories of this paper are: adap-org
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The categories of this paper are: q-bio
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The categories of this paper are: cond-mat
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The categories of this paper are: physics
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The categories of this paper are: stat
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The categories of this paper are: acc-phys