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