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Update approach.tex

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Simon Meister 2017-11-15 18:18:38 +01:00 committed by GitHub
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@ -8,10 +8,11 @@ For this, we extend Mask R-CNN in two straightforward ways.
First, we modify the backbone network and provide two frames to the R-CNN system
in order to enable image matching between the consecutive frames.
Second, we extend the Mask R-CNN RoI head to predict a 3D motion for each
region proposal. Table \ref{table:motionrcnn_resnet} shows the modified network.
region proposal. Tables \ref{table:motionrcnn_resnet} and \ref{table:motionrcnn_resnet_fpn}
show our Motion R-CNN networks based on Mask R-CNN ResNet-50 and Mask R-CNN ResNet-50-FPN,
rspectively.
{
\begin{table}[h]
{\begin{table}[h]
\centering
\begin{tabular}{llr}
\toprule