Changed intro sections to non-listed subsections
Signed-off-by: Jim Martens <github@2martens.de>
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@ -2,7 +2,7 @@
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\chapter{Introduction}
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\chapter{Introduction}
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\section{Motivation}
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\subsection*{Motivation}
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Famous examples like the automatic soap dispenser which does not
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Famous examples like the automatic soap dispenser which does not
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recognize the hand of a black person but dispenses soap when presented
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recognize the hand of a black person but dispenses soap when presented
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@ -50,7 +50,7 @@ describes tasks where the network is supposed to identify the
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class of any given input. In this thesis, I will focus on
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class of any given input. In this thesis, I will focus on
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classification.
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classification.
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\section{Object detection in open-set conditions}
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\subsection*{Object detection in open-set conditions}
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More specifically, I will look at object detection in the open-set
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More specifically, I will look at object detection in the open-set
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conditions. In non-technical words this effectively describes
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conditions. In non-technical words this effectively describes
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@ -108,7 +108,7 @@ auto-encoder, a novelty score is calculated. A low novelty
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score signals a known object. The opposite is true for a high
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score signals a known object. The opposite is true for a high
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novelty score.
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novelty score.
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\section{Research question}
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\subsection*{Research question}
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Given these two approaches to solve the explanation task of above,
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Given these two approaches to solve the explanation task of above,
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it comes down to performance. At the end of the day the best
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it comes down to performance. At the end of the day the best
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