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[Masterproj] Added abstract to seminar paper

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Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens
2018-06-05 12:27:32 +02:00
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masterproj/seminar_report.tex
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@ -85,7 +85,15 @@ maxnames=2
\maketitle \maketitle
\section*{Abstract} \section*{Abstract}
The short abstract (100-150 words) is intended to give the reader an overview of the paper and your general opinion about the paper. Deep Sliding Shapes is an approach that uses 3D data in a regional proposal
network to limit the search space before both 3D and 2D are used in an object
recognition network to find the actual objects. In the end it produces 3D
bounding boxes and outperforms 3D selective search and other state-of-the-art
solutions.
The paper is presenting the approach in an understandable manner. But the
reproducibility of Deep Sliding Shapes is suboptimal as key information for
such an endeavour is missing from the paper.
% Lists: % Lists:
@ -388,7 +396,7 @@ Furthermore the motivations for the used data sets NYUv2 and SUN RGB-D are
not quite clear. Which data set is used for what purpose and why? The text not quite clear. Which data set is used for what purpose and why? The text
mentions in one sentence that the amodal bounding boxes are obtained from mentions in one sentence that the amodal bounding boxes are obtained from
SUN RGB-D without further explanation. It would have been advantageous SUN RGB-D without further explanation. It would have been advantageous
if the actual process of this "obtaining" were explained. if the actual process of this "obtaining" was explained.
% subsection negitive (end) % subsection negitive (end)