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\section*{Exercise 5.2 Training}
\begin{figure}[htp]
    \centering
    \includegraphics[width=14cm]{image0.png}
\end{figure}

\section*{Exercise 5.3 Negative Mining}
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    \includegraphics[width=14cm]{image1.jpg}
    \includegraphics[width=14cm]{image2.png}

\end{figure}

The idea of negative mining is, to get a certain balance between positive and negative labels.
Especially in our case it is important, since there are a lot more negative boxes then positive ones.
By sampling a random subset of negatives.
In my case I could observe that the loss was actually higher with negative mining. But the accuracy was better.




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