Added sections to help guide the reader through the introduction

Signed-off-by: Jim Martens <github@2martens.de>

body_expose.tex

@@ -2,6 +2,8 @@
 
 \chapter{Introduction}
 
+\section{Motivation}
+
 Famous examples like the automatic soap dispenser which does not
 recognize the hand of a black person but dispenses soap when presented
 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
 classification.
 
+\section{Object detection in open-set conditions}
+
 More specifically, I will look at object detection in the open-set
 conditions. In non-technical words this effectively describes
 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
 novelty score.
 
+\section{Research question}
+
 Given these two approaches to solve the explanation task of above,
 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