\begin{tabular}{c | c | c | c | c | c}
{\bf Method} & {\bf D1-bg} & {\bf D1-fg} & {\bf D1-all} & {\bf Density} & {\bf Runtime}\\ \hline
GC-NET \cite{kendall2017stereo} & 2.21 \% & 6.16 \% & 2.87 \% & 100.00 \% & 0.9 s / \\
DRR \cite{gidaris2016detect} & 2.58 \% & 6.04 \% & 3.16 \% & 100.00 \% & 0.4 s / \\
L-ResMatch \cite{shaked2016stereo} & 2.72 \% & 6.95 \% & 3.42 \% & 100.00 \% & 48 s / 1 core \\
Displets v2 \cite{Guney2015CVPR} & 3.00 \% & 5.56 \% & 3.43 \% & 100.00 \% & 265 s / >8 cores \\
PBCP \cite{Seki2016BMVC} & 2.58 \% & 8.74 \% & 3.61 \% & 100.00 \% & 68 s / \\
SGM-Net \cite{Seki2017CVPR} & 2.66 \% & 8.64 \% & 3.66 \% & 100.00 \% & 67 s / \\
MC-CNN-acrt \cite{Zbontar2016JMLR} & 2.89 \% & 8.88 \% & 3.89 \% & 100.00 \% & 67 s / \\
CNN-SPS \cite{CNNSPS} & 3.30 \% & 7.92 \% & 4.07 \% & 100.00 \% & 80 s / GPU \\
PRSM \cite{Vogel2015IJCV} & 3.02 \% & 10.52 \% & 4.27 \% & 99.99 \% & 300 s / 1 core \\
DispNetC \cite{Mayer2016CVPR} & 4.32 \% & 4.41 \% & 4.34 \% & 100.00 \% & 0.06 s / \\
ISF \cite{Behl2017ICCV} & 4.12 \% & 6.17 \% & 4.46 \% & 100.00 \% & 10 min / 1 core \\
Content-CNN \cite{Vogel2015IJCV} & 3.73 \% & 8.58 \% & 4.54 \% & 100.00 \% & 1 s / \\
MC-CNN-WS \cite{Tulyakov2017} & 3.78 \% & 10.93 \% & 4.97 \% & 100.00 \% & 1.35 s / \\
3DMST \cite{li20173DMST} & 3.36 \% & 13.03 \% & 4.97 \% & 100.00 \% & 93 s / 1 core \\
OSF+TC \cite{Neoral2017CVWW} & 4.11 \% & 9.64 \% & 5.03 \% & 100.00 \% & 50 min / 1 core \\
SPS-St \cite{Yamaguchi2014ECCV} & 3.84 \% & 12.67 \% & 5.31 \% & 100.00 \% & 2 s / 1 core \\
MDP \cite{Li2016CVPR} & 4.19 \% & 11.25 \% & 5.36 \% & 100.00 \% & 11.4 s / 4 cores \\
OSF \cite{Menze2015CVPR} & 4.54 \% & 12.03 \% & 5.79 \% & 100.00 \% & 50 min / 1 core \\
CSF \cite{Lv2016ECCV} & 4.57 \% & 13.04 \% & 5.98 \% & 99.99 \% & 80 s / 1 core \\
MBM \cite{Einecke2014IV} & 4.69 \% & 13.05 \% & 6.08 \% & 100.00 \% & 0.13 s / 1 core \\
PR-Sceneflow \cite{Vogel2013ICCV} & 4.74 \% & 13.74 \% & 6.24 \% & 100.00 \% & 150 s / 4 core \\
FSF+MS \cite{Taniai2017} & 5.72 \% & 11.84 \% & 6.74 \% & 100.00 \% & 2.7 s / 4 cores \\
AABM \cite{Einecke2013IV} & 4.88 \% & 16.07 \% & 6.74 \% & 100.00 \% & 0.08 s / 1 core \\
SGM+C+NL \cite{Hirschmueller2008PAMI} & 5.15 \% & 15.29 \% & 6.84 \% & 100.00 \% & 4.5 min / 1 core \\
SGM+LDOF \cite{Hirschmueller2008PAMI} & 5.15 \% & 15.29 \% & 6.84 \% & 100.00 \% & 86 s / 1 core \\
SGM+SF \cite{Hirschmueller2008PAMI} & 5.15 \% & 15.29 \% & 6.84 \% & 100.00 \% & 45 min / 16 core \\
SNCC \cite{Einecke2010DICTA} & 5.36 \% & 16.05 \% & 7.14 \% & 100.00 \% & 0.08 s / 1 core \\
CSCT+SGM+MF \cite{chacon2013n} & 6.91 \% & 14.87 \% & 8.24 \% & 100.00 \% & 0.0064 s / Nvidia GTX Titan X \\
MeshStereo \cite{Zhang2015ICCV} & 5.82 \% & 21.21 \% & 8.38 \% & 100.00 \% & 87 s / 1 core \\
PCOF + ACTF \cite{Derome2016GCPR} & 6.31 \% & 19.24 \% & 8.46 \% & 100.00 \% & 0.08 s / GPU \\
PCOF-LDOF \cite{Derome2016GCPR} & 6.31 \% & 19.24 \% & 8.46 \% & 100.00 \% & 50 s / 1 core \\
ELAS \cite{Geiger2010ACCV} & 7.86 \% & 19.04 \% & 9.72 \% & 92.35 \% & 0.3 s / 1 core \\
REAF \cite{Cigla2015CVPRWorkshops} & 8.43 \% & 18.51 \% & 10.11 \% & 100.00 \% & 1.1 s / 1 core \\
iGF \cite{hamzah2016stereo} & 8.64 \% & 21.85 \% & 10.84 \% & 100.00 \% & 220 s / 1 core \\
OCV-SGBM \cite{Hirschmueller08} & 8.92 \% & 20.59 \% & 10.86 \% & 90.41 \% & 1.1 s / 1 core \\
SDM \cite{Kostkova2003BMVC} & 9.41 \% & 24.75 \% & 11.96 \% & 62.56 \% & 1 min / 1 core \\
GCSF \cite{Cech2011CVPR} & 11.64 \% & 27.11 \% & 14.21 \% & 100.00 \% & 2.4 s / 1 core \\
CostFilter \cite{Rhemann2011CVPR} & 17.53 \% & 22.88 \% & 18.42 \% & 100.00 \% & 4 min / 1 core \\
DWBSF \cite{Richardt2016THREEDV} & 19.61 \% & 22.69 \% & 20.12 \% & 100.00 \% & 7 min / 4 cores \\
OCV-BM \cite{Bradski2000} & 24.29 \% & 30.13 \% & 25.27 \% & 58.54 \% & 0.1 s / 1 core \\
VSF \cite{Huguet2007ICCV} & 27.31 \% & 21.72 \% & 26.38 \% & 100.00 \% & 125 min / 1 core \\
SED \cite{Peña2017} & 25.01 \% & 40.43 \% & 27.58 \% & 4.02 \% & 0.68 s / 1 core \\
MST \cite{Yang2012CVPR} & 45.83 \% & 38.22 \% & 44.57 \% & 100.00 \% & 7 s / 1 core
\end{tabular}