p_1 \equiv p^+_2 \in I_2,  p_1 \neq p^-_2 \in N(p^+_2), ~~~~~~~~~~
  \end{split}$$ where $S$ is a set of considered image pairs $(I_1,I_2)$, $|S|$ the number of image pairs and $|I_1|$ the number of pixels in $I_1$. As $r$ is a single value we can plot it for different cases:

1.  The curve for different spatial distances between $p^+_2$ and $p^-_2$ ($r_{dist}$).

2.  The curve for different optical flow displacements between $p_1$ and $p^+_2$ ($r_{flow}$).

$r_{dist}$ and $r_{flow}$ vary strongly for different locations. This makes differences between different networks hard to visualize. For better visualization, we plot the *relative matching robustness errors* $E_{dist}$ and $E_{flow}$, computed with respect to a pre-selected network $net1$. $E$ is defined as: $$E(net1,net2) = (1-r(net2))/(1-r(net1))$$

[|c|C[1.1 cm]{}|C[1.1 cm]{}|C[1.0 cm]{}|C[1.0 cm]{}|C[1.0 cm]{}|C[1.0 cm]{}|]{} Approach & EPE $>$3 px noc. & EPE $>$3 px all & EPE noc. & EPE all\
ours &**4.95%** & **11.89%** & **1.10 px** & **2.60 px**\
original ([@bailer2015flow]+CNN)& 5.48% & 12.59% & 1.28 px & 3.08 px\
ms res 1 & 5.17% & 12.10% & 1.17 px & 2.80 px\

[|c|C[1.1 cm]{}|C[1.1 cm]{}|C[1.0 cm]{}|C[1.0 cm]{}|C[1.0 cm]{}|C[1.0 cm]{}|]{} Approach &EPE $>$3 px noc. & EPE $>$3 px all & EPE noc. & EPE all\
