29 lines
903 B
TeX
29 lines
903 B
TeX
\begin{frame}
|
|
\frametitle{Topic 4: Pixel Attribution}
|
|
|
|
\Large \textbf{Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps} (Simonyan, Vedaldi, et al., 2013)\\
|
|
\LARGE \textbf{Chapter:} 10.2 \textbf{Supervisor:} Simon Klüttermann (simon.kluettermann@cs.uni-dortmund.de)\\
|
|
|
|
%\begin{center}
|
|
%\includegraphics[height=3cm]{illustrations/simon.jpeg}
|
|
%\end{center}
|
|
|
|
\begin{columns}
|
|
\begin{column}{.625\textwidth}
|
|
\begin{center}
|
|
\includegraphics[height=3cm]{illustrations/simon.jpeg}
|
|
\end{center}
|
|
\end{column}
|
|
\begin{column}{.325\textwidth}
|
|
\begin{itemize}
|
|
\item Different parts of an image have different effect/importance on the classification of an image
|
|
|
|
\end{itemize}
|
|
|
|
\end{column}
|
|
\end{columns}
|
|
|
|
|
|
|
|
\end{frame}
|