Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Camera Model Identification Using Convolutional Neural Networks   Source camera identification is the process of determining which camera or
model has been used to capture an image. In the recent years, there has been a
rapid growth of research interest in the domain of forensics. In the current
work, we describe our Deep Learning approach to the camera detection task of 10
cameras as a part of the Camera Model Identification Challenge hosted by
Kaggle.com where our team finished 2nd out of 582 teams with the accuracy on
the unseen data of 98%. We used aggressive data augmentations that allowed a
model to stay robust against transformations. A number of experiments are
carried out on datasets collected by organizers and scraped from the web.

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The categories of this paper are: nlin
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The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
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The categories of this paper are: econ
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The categories of this paper are: math-ph
16
The categories of this paper are: stat
10
The categories of this paper are: q-bio
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The categories of this paper are: eess
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The categories of this paper are: bayes-an
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The categories of this paper are: q-alg
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The categories of this paper are: mtrl-th
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The categories of this paper are: adap-org
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The categories of this paper are: nucl-th
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The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci