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\begin{document}
\author{Jim Martens}
\title{Object Detection with Novelty Detection}
\date{\today}

\begin{frame}
    \titlepage
\end{frame}

\begin{frame}{Task}
    \begin{itemize}
        \item neural network trained with one group of classes
        \item classification for unknown classes is always wrong
        \item how to identify such cases in large set of data?
    \end{itemize}
\end{frame}

\begin{frame}{Approaches}
    \begin{itemize}
        \item auto encoder (Pidhorskyi et al\cite{Pidhorskyi2018}): high error indicates images with unknown classes
        \item measure entropy of classification (Miller et al\cite{Miller2018}): exclude high entropy cases 
    \end{itemize}
\end{frame}

\begin{frame}{Own work and problems}
    \begin{itemize}
        \item compare performance of auto encoder approach with Miller's approach
        \item auto encoder: learns general identity function, therefore error meaningless
        \item vanilla SSD: learning issues
        \item Bayesian SSD: did not try yet
    \end{itemize}
\end{frame}

\begin{frame}{Evaluation}
    \begin{itemize}
        \item precision, recall, f1 scores, mean average precision
        \item open set error
    \end{itemize}
\end{frame}

\begin{frame}{References}
    \printbibliography
\end{frame}

\end{document}
