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Simon Meister 2017-11-17 16:34:45 +01:00
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@ -288,10 +288,10 @@ classification term in this case.
\caption{ \caption{
Overview of the alternative, optical flow based loss for instance motion Overview of the alternative, optical flow based loss for instance motion
supervision without 3D instance motion ground truth. supervision without 3D instance motion ground truth.
In contrast to SfM-Net, where a single optical flow field is In contrast to SfM-Net \cite{SfmNet}, where a single optical flow field is
composed and penalized to supervise the motion prediction, our loss considers composed and penalized to supervise the motion prediction, our loss considers
the motion of all objects in isolation and composes a batch of flow windows the motion of all objects in isolation and composes a batch of flow windows
for the RoIs. Network predictions are shown in red. for all RoIs. Network predictions are shown in red.
} }
\label{figure:flow_loss} \label{figure:flow_loss}
\end{figure} \end{figure}

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