\begin{tabular}{c | c | c | c | c | c}
{\bf Method} & {\bf Fl-bg} & {\bf Fl-fg} & {\bf Fl-all} & {\bf Density} & {\bf Runtime}\\ \hline
ISF \cite{Behl2017ICCV} & 5.40 \% & 10.29 \% & 6.22 \% & 100.00 \% & 10 min / 1 core \\
PRSM \cite{Vogel2015IJCV} & 5.33 \% & 13.40 \% & 6.68 \% & 100.00 \% & 300 s / 1 core \\
OSF+TC \cite{Neoral2017CVWW} & 5.76 \% & 13.31 \% & 7.02 \% & 100.00 \% & 50 min / 1 core \\
SSF \cite{Ren20173DV} & 5.63 \% & 14.71 \% & 7.14 \% & 100.00 \% & 5 min / 1 core \\
OSF \cite{Menze2015CVPR} & 5.62 \% & 18.92 \% & 7.83 \% & 100.00 \% & 50 min / 1 core \\
MirrorFlow \cite{Hur2017ICCV} & 8.93 \% & 17.07 \% & 10.29 \% & 100.00 \% & 11 min / 4 core \\
SDF \cite{Bai2016ECCV} & 8.61 \% & 23.01 \% & 11.01 \% & 100.00 \% & TBA / 1 core \\
FSF+MS \cite{Taniai2017} & 8.48 \% & 25.43 \% & 11.30 \% & 100.00 \% & 2.7 s / 4 cores \\
MR-Flow \cite{WulffCVPR2017} & 10.13 \% & 22.51 \% & 12.19 \% & 100.00 \% & 8 min / 1 core \\
CSF \cite{Lv2016ECCV} & 10.40 \% & 25.78 \% & 12.96 \% & 100.00 \% & 80 s / 1 core \\
PR-Sceneflow \cite{Vogel2013ICCV} & 11.73 \% & 24.33 \% & 13.83 \% & 100.00 \% & 150 s / 4 core \\
DCFlow \cite{xu2017dcflow} & 13.10 \% & 23.70 \% & 14.86 \% & 100.00 \% & 8.6 s / GPU \\
SOF \cite{Sevilla2016CVPR} & 14.63 \% & 22.83 \% & 15.99 \% & 100.00 \% & 6 min / 1 core \\
JFS \cite{Hur2016ECCVWORK} & 15.90 \% & 19.31 \% & 16.47 \% & 100.00 \% & 13 min / 1 core \\
DF+OIR \cite{MaurerBMVC2017} & 15.11 \% & 23.45 \% & 16.50 \% & 100.00 \% & 3 min / 1 core \\
ImpPB+SPCI \cite{Schuster2017Multiple} & 17.25 \% & 20.44 \% & 17.78 \% & 100.00 \% & 60 s / GPU \\
PCOF-LDOF \cite{Derome2016GCPR} & 14.34 \% & 38.32 \% & 18.33 \% & 100.00 \% & 50 s / 1 core \\
FlowFieldCNN \cite{Bailer2017CNN} & 18.33 \% & 20.42 \% & 18.68 \% & 100.00 \% & 23 s / GPU/CPU 4 core \\
RicFlow \cite{Hu2017CVPR} & 18.73 \% & 19.09 \% & 18.79 \% & 100.00 \% & 5 s / 1 core \\
PatchBatch \cite{Gadot2016CVPR} & 19.98 \% & 26.50 \% & 21.07 \% & 100.00 \% & 50 s / GPU \\
DDF \cite{Guney2016ACCV} & 20.36 \% & 25.19 \% & 21.17 \% & 100.00 \% & ~1 min / GPU \\
SODA-Flow \cite{MaurerSSVM2017} & 20.01 \% & 29.14 \% & 21.53 \% & 100.00 \% & 96 s / 2 cores \\
DiscreteFlow \cite{Menze2015GCPR} & 21.53 \% & 21.76 \% & 21.57 \% & 100.00 \% & 3 min / 1 core \\
SGM+SF \cite{Hirschmueller2008PAMI} & 20.91 \% & 25.50 \% & 21.67 \% & 100.00 \% & 45 min / 16 core \\
OAR-Flow \cite{MaurerSSVM20172} & 20.62 \% & 27.67 \% & 21.79 \% & 100.00 \% & 100 s / 2 cores \\
CPM-Flow \cite{Hu2016CVPR} & 22.32 \% & 22.81 \% & 22.40 \% & 100.00 \% & 4.2 s / 1 core \\
PCOF + ACTF \cite{Derome2016GCPR} & 14.89 \% & 60.15 \% & 22.43 \% & 100.00 \% & 0.08 s / GPU \\
MotionSLIC \cite{Yamaguchi2013CVPR} & 14.86 \% & 64.44 \% & 23.11 \% & 100.00 \% & 30 s / 4 cores \\
FullFlow \cite{Chen2016CVPR} & 23.09 \% & 24.79 \% & 23.37 \% & 100.00 \% & 4 min / 4 cores \\
SPM-BP \cite{Li2015ICCV} & 24.06 \% & 24.97 \% & 24.21 \% & 100.00 \% & 10 s / 2 cores \\
EpicFlow \cite{Revaud2015CVPR} & 25.81 \% & 28.69 \% & 26.29 \% & 100.00 \% & 15 s / 1 core \\
DeepFlow \cite{Weinzaepfel2013ICCV} & 27.96 \% & 31.06 \% & 28.48 \% & 100.00 \% & 17 s / 1 core \\
SGM+C+NL \cite{Hirschmueller2008PAMI} & 34.24 \% & 42.46 \% & 35.61 \% & 93.83 \% & 4.5 min / 1 core \\
DWBSF \cite{Richardt2016THREEDV} & 40.74 \% & 31.16 \% & 39.14 \% & 100.00 \% & 7 min / 4 cores \\
SGM+LDOF \cite{Hirschmueller2008PAMI} & 40.81 \% & 31.92 \% & 39.33 \% & 95.89 \% & 86 s / 1 core \\
HS \cite{Sun2014IJCV} & 39.90 \% & 51.39 \% & 41.81 \% & 100.00 \% & 2.6 min / 1 core \\
GCSF \cite{Cech2011CVPR} & 47.38 \% & 41.50 \% & 46.40 \% & 100.00 \% & 2.4 s / 1 core \\
DB-TV-L1 \cite{Zach2007GCPR} & 47.52 \% & 48.27 \% & 47.64 \% & 100.00 \% & 16 s / 1 core \\
VSF \cite{Huguet2007ICCV} & 50.06 \% & 45.40 \% & 49.28 \% & 100.00 \% & 125 min / 1 core \\
HAOF \cite{Brox2004ECCV} & 49.89 \% & 50.74 \% & 50.04 \% & 100.00 \% & 16.2 s / 1 core \\
SSF \cite{ERROR: Wrong syntax in BIBTEX file.} & 51.61 \% & 48.39 \% & 51.07 \% & 100.00 \% & 200 s / 1 core \\
PolyExpand \cite{Farneback2003SCIA} & 52.00 \% & 58.56 \% & 53.09 \% & 100.00 \% & 1 s / 1 core \\
Pyramid-LK \cite{Bouguet2000} & 71.84 \% & 76.82 \% & 72.67 \% & 100.00 \% & 1.5 min / 1 core
\end{tabular}