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Improved start of methods chapter

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Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens
2019-08-13 13:15:48 +02:00
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@ -366,26 +366,17 @@ be used to identify and reject these false positive cases.
\label{chap:methods} \label{chap:methods}
This chapter starts with the design of the source code; the This chapter explains the functionality of the Bayesian SSD and
source code is so much more than a means to an end. The thesis provides some information on the software and source code design.
uses two data sets: MS COCO and SceneNet RGB-D; a section In particular, the model architecture of both vanilla SSD and
will explain how these data sets have been prepared. Bayesian SSD, the calculation of model uncertainty, and relevant
Afterwards the replication of the work of Miller et al. is implementation details will be presented.
outlined, followed by the implementation of the auto-encoder.
\section{Bayesian SSD for Novelty Detection} \section{Bayesian SSD for Model Uncertainty}
\subsection{Model Architecture} \subsection{Model Architecture}
\subsection{Novelty Detection} \subsection{Model Uncertainty}
\subsection{Implementation Details}
\section{Auto-encoder for Novelty Detection}
\subsection{Model Architecture}
\subsection{Novelty Detection}
\subsection{Implementation Details} \subsection{Implementation Details}