2martens/masterthesis-latex
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Added sections to help guide the reader through the introduction

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Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens
2019-03-05 14:02:32 +01:00
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body_expose.tex
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@ -2,6 +2,8 @@
\chapter{Introduction} \chapter{Introduction}
\section{Motivation}
Famous examples like the automatic soap dispenser which does not Famous examples like the automatic soap dispenser which does not
recognize the hand of a black person but dispenses soap when presented recognize the hand of a black person but dispenses soap when presented
with a paper towel raise the question of bias in computer with a paper towel raise the question of bias in computer
@ -48,6 +50,8 @@ describes tasks where the network is supposed to identify the
class of any given input. In this thesis, I will focus on class of any given input. In this thesis, I will focus on
classification. classification.
\section{Object detection in open-set conditions}
More specifically, I will look at object detection in the open-set More specifically, I will look at object detection in the open-set
conditions. In non-technical words this effectively describes conditions. In non-technical words this effectively describes
the kind of situation you encounter with CCTV cameras or robots the kind of situation you encounter with CCTV cameras or robots
@ -104,6 +108,8 @@ auto-encoder, a novelty score is calculated. A low novelty
score signals a known object. The opposite is true for a high score signals a known object. The opposite is true for a high
novelty score. novelty score.
\section{Research question}
Given these two approaches to solve the explanation task of above, Given these two approaches to solve the explanation task of above,
it comes down to performance. At the end of the day the best it comes down to performance. At the end of the day the best
theoretical idea does not help in solving the task if it cannot theoretical idea does not help in solving the task if it cannot