\begin{tabular}{c | c | c | c | c | c | c | c | c}
{\bf Method} & {\bf Setting} & {\bf Out-Noc} & {\bf Out-All} & {\bf Avg-Noc} & {\bf Avg-All} & {\bf Density} & {\bf Runtime} & {\bf Environment}\\ \hline
ViTAStereo & & 0.93 \% & 1.16 \% & 0.4 px & 0.4 px & 100.00 \% & 0.22 s & NVIDIA 4090 (PyTorch)\\
GANet+ADL & & 0.98 \% & 1.29 \% & 0.4 px & 0.5 px & 100.00 \% & 0.67 s & NVIDIA RTX 3090 (PyTorch) \\
GSSNet & & 0.98 \% & 1.26 \% & 0.4 px & 0.4 px & 100.00 \% & 0.78 s & 1 core @ 2.5 Ghz (Python)\\
SSMF & & 0.99 \% & 1.27 \% & 0.4 px & 0.4 px & 100.00 \% & 0.20 s & 1 core @ 2.5 Ghz (Python)\\
RiskMin & & 1.00 \% & 1.44 \% & 0.4 px & 0.5 px & 100.00 \% & 0.20 s & GPU @ 2.5 Ghz (Python)\\
StereoBase & & 1.00 \% & 1.26 \% & 0.4 px & 0.4 px & 100.00 \% & 0.29 s & GPU @ 1.5 Ghz (Python)\\
NMRF-Stereo & & 1.01 \% & 1.35 \% & 0.4 px & 0.4 px & 100.00 \% & 0.09 s & NVIDIA RTX 3090 (PyTorch)\\
DN+ACVNet & & 1.02 \% & 1.41 \% & 0.4 px & 0.5 px & 100.00 \% & 0.24 s & 1 core @ 2.5 Ghz (C/C++)\\
WiCRI\_STEREO & & 1.03 \% & 1.34 \% & 0.4 px & 0.5 px & 100.00 \% & 1 s & 1 core @ 2.5 Ghz (C/C++)\\
MVACVNet & & 1.03 \% & 1.34 \% & 0.4 px & 0.5 px & 100.00 \% & 0.01 s & GPU @ 2.5 Ghz (Python)\\
CGF-ACV & & 1.03 \% & 1.34 \% & 0.4 px & 0.5 px & 100.00 \% & 0.24 s & NVIDIA RTX 3090 (PyTorch)\\
PCWNet-SCE & & 1.03 \% & 1.35 \% & 0.4 px & 0.5 px & 100.00 \% & 0.44 s & 1 core @ 2.5 Ghz (C/C++)\\
MC-Stereo & & 1.04 \% & 1.34 \% & 0.4 px & 0.4 px & 100.00 \% & 0.40 s & GPU @ 2.5 Ghz (Python)\\
PCWNet & & 1.04 \% & 1.37 \% & 0.4 px & 0.5 px & 100.00 \% & 0.44 s & 1 core @ 2.5 Ghz (C/C++)\\
LaC+GANet & & 1.05 \% & 1.42 \% & 0.4 px & 0.5 px & 100.00 \% & 1.8 s & 1 core @ 2.5 Ghz (C/C++)\\
UGNet & & 1.05 \% & 1.42 \% & 0.4 px & 0.5 px & 100.00 \% & 0.3 s & GPU @ 2.5 Ghz (Python)\\
SCVFormer & & 1.05 \% & 1.39 \% & 0.4 px & 0.5 px & 100.00 \% & 0.09 s & NVIDIA RTX 3090 (PyTorch)\\
MoCha-Stereo & & 1.05 \% & 1.35 \% & 0.4 px & 0.4 px & 100.00 \% & 0.27 s & NVIDIA Tesla A6000 (Python)\\
ICVP & & 1.06 \% & 1.39 \% & 0.4 px & 0.5 px & 100.00 \% & 0.17 s & GPU @ 1.5 Ghz (Python)\\
VFM Adapter & & 1.06 \% & 1.32 \% & 0.4 px & 0.4 px & 100.00 \% & 1 s & 8 cores @ 3.5 Ghz (Python)\\
MoCha-Stereo+32iters & & 1.06 \% & 1.36 \% & 0.4 px & 0.4 px & 100.00 \% & 0.33 s & NVIDIA Tesla A6000 (PyTorch)\\
Selective-IGEV & & 1.07 \% & 1.38 \% & 0.4 px & 0.4 px & 100.00 \% & 0.24 s & 1 core @ 2.5 Ghz (Python)\\
IGEVStereo-DCA & & 1.07 \% & 1.42 \% & 0.4 px & 0.5 px & 100.00 \% & 0.4 s & 1 core @ 2.5 Ghz (C/C++)\\
GeoNet & & 1.08 \% & 1.42 \% & 0.4 px & 0.4 px & 100.00 \% & 0.22 s & 1 core @ 2.5 Ghz (C/C++)\\
RD Stereo & & 1.09 \% & 1.36 \% & 0.4 px & 0.4 px & 100.00 \% & 0.18 s & 1 core @ 2.5 Ghz (C/C++)\\
EGLCR-Stereo & & 1.09 \% & 1.40 \% & 0.4 px & 0.5 px & 100.00 \% & 0.45 s & 1 core @ 2.5 Ghz (C/C++)\\
IGEV-dynamic & & 1.09 \% & 1.44 \% & 0.4 px & 0.5 px & 100.00 \% & 0.2 s & 1 core @ 2.5 Ghz (C/C++)\\
MDA & & 1.09 \% & 1.43 \% & 0.4 px & 0.5 px & 100.00 \% & 0.32s & 1 core @ 2.5 Ghz (Python)\\
HCR & & 1.09 \% & 1.42 \% & 0.4 px & 0.4 px & 100.00 \% & 0.19 s & GPU @ 2.5 Ghz (Python)\\
UCFNet & & 1.09 \% & 1.45 \% & 0.4 px & 0.5 px & 100.00 \% & 0.21 s & 1 core @ 2.5 Ghz (C/C++)\\
DVANet & & 1.09 \% & 1.52 \% & 0.4 px & 0.5 px & 100.00 \% & 0.28 s & NVIDIA 3090 (PyTorch)\\
IEG-Net & & 1.09 \% & 1.48 \% & 0.4 px & 0.5 px & 100.00 \% & 0.40 s & 1 core @ 2.5 Ghz (Python)\\
VCNet & & 1.10 \% & 1.44 \% & 0.4 px & 0.5 px & 100.00 \% & 0.6 s & 1 core @ 2.5 Ghz (Python)\\
LoS & & 1.10 \% & 1.38 \% & 0.4 px & 0.4 px & 100.00 \% & 0.19 s & 1 core @ 2.5 Ghz (Python)\\
ACVNet-DCA & & 1.10 \% & 1.43 \% & 0.4 px & 0.5 px & 100.00 \% & 0.2 s & 1 core @ 2.5 Ghz (C/C++)\\
Selective-RAFT & & 1.10 \% & 1.43 \% & 0.4 px & 0.5 px & 100.00 \% & 0.45 s & 1 core @ 2.5 Ghz (Python)\\
IGEV-ICGNet & & 1.10 \% & 1.41 \% & 0.4 px & 0.4 px & 100.00 \% & 0.18 s & GPU @ 2.5 Ghz (C/C++)\\
HART & & 1.11 \% & 1.38 \% & 0.4 px & 0.4 px & 100.00 \% & 0.34 s & NVIDIA Tesla A100 (Python)\\
Any-IGEV & & 1.11 \% & 1.41 \% & 0.4 px & 0.4 px & 100.00 \% & 0.32 s & 1 core @ 2.5 Ghz (C/C++)\\
NLCA-Net v2 & & 1.11 \% & 1.46 \% & 0.4 px & 0.5 px & 100.00 \% & 0.67 s & GPU @ >3.5 Ghz (Python)\\
ASERNet & & 1.11 \% & 1.40 \% & 0.4 px & 0.5 px & 100.00 \% & 0.06 s & GPU @ 2.5 Ghz (Python)\\
BSDual-CNN & & 1.12 \% & 1.42 \% & 0.4 px & 0.5 px & 100.00 \% & 0.45 s & GPU @ 2.5 Ghz (Python)\\
IGEV-Stereo(32) & & 1.12 \% & 1.43 \% & 0.4 px & 0.4 px & 100.00 \% & 0.32 s & NVIDIA RTX 3090 (PyTorch)\\
ICGNet-abl & & 1.12 \% & 1.41 \% & 0.4 px & 0.4 px & 100.00 \% & 0.18s & 1 core @ 2.5 Ghz (C/C++)\\
IGEV-Stereo & & 1.12 \% & 1.44 \% & 0.4 px & 0.4 px & 100.00 \% & 0.18 s & NVIDIA RTX 3090 (PyTorch)\\
ASERNet & & 1.13 \% & 1.40 \% & 0.4 px & 0.5 px & 100.00 \% & 0.07 s & GPU @ 2.5 Ghz (Python)\\
LaC+GwcNet & & 1.13 \% & 1.49 \% & 0.5 px & 0.5 px & 100.00 \% & 0.65 s & GPU @ 2.5 Ghz (Python)\\
ACVNet & & 1.13 \% & 1.47 \% & 0.4 px & 0.5 px & 100.00 \% & 0.2 s & NVIDIA RTX 3090 (PyTorch)\\
LEAStereo & & 1.13 \% & 1.45 \% & 0.5 px & 0.5 px & 100.00 \% & 0.3 s & GPU @ 2.5 Ghz (Python)\\
CREStereo & & 1.14 \% & 1.46 \% & 0.4 px & 0.5 px & 100.00 \% & 0.40 s & GPU @ >3.5 Ghz (C/C++)\\
ADBM & & 1.14 \% & 1.48 \% & 0.4 px & 0.4 px & 100.00 \% & 0.4 s & 1 core @ 2.5 Ghz (C/C++)\\
DANet-Stereo & & 1.15 \% & 1.52 \% & 0.4 px & 0.5 px & 100.00 \% & 2.7 s & GPU @ 2.5 Ghz (Python)\\
EGA-Stereo & & 1.17 \% & 1.55 \% & 0.4 px & 0.5 px & 100.00 \% & 0.41 s & 1 core @ 2.5 Ghz (Python)\\
AFNet & & 1.17 \% & 1.50 \% & 0.4 px & 0.5 px & 100.00 \% & 0.25 s & 1 core @ 2.5 Ghz (Python)\\
FGDS-Net & & 1.17 \% & 1.51 \% & 0.4 px & 0.5 px & 100.00 \% & 0.3 s & 1 core @ 2.5 Ghz (Python)\\
AcfNet & & 1.17 \% & 1.54 \% & 0.5 px & 0.5 px & 100.00 \% & 0.48 s & 1 core @ 2.5 Ghz (Python)\\
DualNet-kd* & & 1.17 \% & 1.57 \% & 0.4 px & 0.5 px & 100.00 \% & 0.3 s & 1 core @ 2.5 Ghz (C/C++)\\
4D-IteraStereo & & 1.17 \% & 1.55 \% & 0.4 px & 0.5 px & 100.00 \% & 0.4 s & GPU @ 2.5 Ghz (Python)\\
GINet & & 1.17 \% & 1.56 \% & 0.4 px & 0.5 px & 100.00 \% & 0.25 s & 2 cores @ 2.5 Ghz (Python)\\
Abc-Net & & 1.18 \% & 1.59 \% & 0.4 px & 0.5 px & 100.00 \% & 0.72 s & 4 cores @ 2.5 Ghz (Python)\\
yjlig & & 1.18 \% & 1.60 \% & 0.4 px & 0.5 px & 100.00 \% & 0.35 s & 1 core @ 2.5 Ghz (C/C++)\\
EAC-Stereo & & 1.18 \% & 1.60 \% & 0.4 px & 0.5 px & 100.00 \% & 0.38s & 1 core @ 2.5 Ghz (Python)\\
Any-RAFT & & 1.18 \% & 1.52 \% & 0.4 px & 0.5 px & 100.00 \% & 0.32 s & 1 core @ 2.5 Ghz (C/C++)\\
CAL-Net & & 1.19 \% & 1.53 \% & 0.4 px & 0.5 px & 100.00 \% & 0.44 s & 4 cores @ 2.5 Ghz (Python)\\
GANet-deep & & 1.19 \% & 1.60 \% & 0.4 px & 0.5 px & 100.00 \% & 1.8 s & GPU @ 2.5 Ghz (Python)\\
PCMAnet & & 1.20 \% & 1.63 \% & 0.5 px & 0.5 px & 100.00 \% & 0.27 s & 1 core @ 2.5 Ghz (C/C++)\\
OptStereo & & 1.20 \% & 1.61 \% & 0.4 px & 0.5 px & 100.00 \% & 0.10 s & GPU @ 2.5 Ghz (Python)\\
NLCA-Net-3 & & 1.21 \% & 1.60 \% & 0.4 px & 0.5 px & 100.00 \% & 0.44 s & GPU @ 2.5 Ghz (Python)\\
URDAD & & 1.22 \% & 1.58 \% & 0.5 px & 0.5 px & 100.00 \% & 0.35 s & 1 core @ 2.5 Ghz (C/C++)\\
CFNet & & 1.23 \% & 1.58 \% & 0.4 px & 0.5 px & 100.00 \% & 0.18 s & 1 core @ 2.5 Ghz (Python)\\
PFSMNet & & 1.23 \% & 1.58 \% & 0.5 px & 0.5 px & 100.00 \% & 0.31 s & 1 core @ 2.5 Ghz (C/C++)\\
DispNO & & 1.24 \% & 1.58 \% & 0.5 px & 0.5 px & 100.00 \% & 0.73 s & GPU @ 3.0 Ghz (Python)\\
NLCA-Net & & 1.25 \% & 1.62 \% & 0.4 px & 0.5 px & 100.00 \% & 0.6 s & GPU @ 2.5 Ghz (C/C++)\\
ICGNet-gwc & & 1.25 \% & 1.63 \% & 0.4 px & 0.5 px & 100.00 \% & 0.32 s & GPU @ 2.5 Ghz (Python)\\
PASNet & & 1.25 \% & 1.69 \% & 0.4 px & 0.5 px & 100.00 \% & 0.38 s & GPU @ 3.5 Ghz (Python)\\
MPFV-Stereo & & 1.26 \% & 1.62 \% & 0.4 px & 0.5 px & 100.00 \% & 0.31 s & 1 core @ 2.5 Ghz (Python)\\
SCV-Stereo & & 1.27 \% & 1.68 \% & 0.5 px & 0.5 px & 100.00 \% & 0.08 s & GPU @ 2.5 Ghz (Python)\\
IGE\_Corr & & 1.28 \% & 1.62 \% & 0.4 px & 0.5 px & 100.00 \% & 0.2 s & 1 core @ 2.5 Ghz (C/C++)\\
PSMNet+CBAM & & 1.28 \% & 1.66 \% & 0.5 px & 0.5 px & 100.00 \% & 0.36 s & NVIDIA RTX 3090 (Python)\\
DMCNet & & 1.28 \% & 1.66 \% & 0.5 px & 0.5 px & 100.00 \% & 0.27 s & GPU @ 2.5 Ghz (Python)\\
NeXt-Stereo & & 1.30 \% & 1.65 \% & 0.4 px & 0.5 px & 100.00 \% & 0.06 s & GPU @ 2.0 Ghz (Python)\\
TBFE-Net & & 1.30 \% & 1.70 \% & 0.5 px & 0.5 px & 100.00 \% & 0.3 s & 1 core @ 2.5 Ghz (Python)\\
DCVSMNet & & 1.30 \% & 1.67 \% & 0.5 px & 0.5 px & 100.00 \% & 0.07 s & GPU @ 2.5 Ghz (Python)\\
DPCTF-S & & 1.31 \% & 1.72 \% & 0.5 px & 0.5 px & 100.00 \% & 0.11 s & GPU @ 2.5 Ghz (Python)\\
AMNet & & 1.32 \% & 1.73 \% & 0.5 px & 0.5 px & 100.00 \% & 0.9 s & GPU @ 2.5 Ghz (Python)\\
GwcNet-gc & & 1.32 \% & 1.70 \% & 0.5 px & 0.5 px & 100.00 \% & 0.32 s & GPU @ 2.0 Ghz (Java + C/C++)\\
ProNet & & 1.32 \% & 1.73 \% & 0.5 px & 0.6 px & 100.00 \% & 0.33 s & GPU @ 2.5 Ghz (Python)\\
PGNet & & 1.32 \% & 1.79 \% & 0.5 px & 0.5 px & 100.00 \% & 0.7 s & 1 core @ 2.5 Ghz (python)\\
ADStereo & & 1.35 \% & 1.72 \% & 0.5 px & 0.5 px & 100.00 \% & 0.05 s & GPU @ 2.5 Ghz (Python)\\
MAF-Stereo & & 1.35 \% & 1.70 \% & 0.5 px & 0.5 px & 100.00 \% & 0.07 s & GPU @ 2.5 Ghz (Python)\\
FusionStereo & & 1.36 \% & 1.77 \% & 0.5 px & 0.5 px & 100.00 \% & 16 s & 1 core @ 2.5 Ghz (Python)\\
GANet-15 & & 1.36 \% & 1.80 \% & 0.5 px & 0.5 px & 100.00 \% & 0.36 s & 1 core @ 2.5 Ghz (C/C++)\\
GDANet & & 1.36 \% & 1.78 \% & 0.5 px & 0.5 px & 100.00 \% & 0.04 s & 1 core @ 2.5 Ghz (Python)\\
SGNet & & 1.38 \% & 1.85 \% & 0.5 px & 0.5 px & 100.00 \% & 0.6 s & 1 core @ 2.5 Ghz (Python + C/C++)\\
GEMAStereo & & 1.38 \% & 1.74 \% & 0.5 px & 0.5 px & 100.00 \% & 0.03 s & GPU @ 2.5 Ghz (Python)\\
HD^3-Stereo & & 1.40 \% & 1.80 \% & 0.5 px & 0.5 px & 100.00 \% & 0.14 s & NVIDIA Pascal Titan XP\\
HITNet & & 1.41 \% & 1.89 \% & 0.4 px & 0.5 px & 100.00 \% & 0.02 s & GPU @ 2.5 Ghz (Python + C/C++)\\
OnestageStereo & & 1.41 \% & 1.80 \% & 0.5 px & 0.5 px & 100.00 \% & 1 s & GPU @ 2.5 Ghz (C/C++)\\
CFP-Net & & 1.41 \% & 1.83 \% & 0.5 px & 0.5 px & 100.00 \% & 0.95 s & 8 cores @ 2.5 Ghz (Python)\\
WSMCnet & & 1.42 \% & 1.90 \% & 0.6 px & 0.6 px & 100.00 \% & 0.39 s & GPU @ Nvidia GTX 1070 (Pytorch)\\
UAIStereo & & 1.45 \% & 1.81 \% & 0.5 px & 0.5 px & 100.00 \% & 0.06 s & GPU @ 3.5 Ghz (Python)\\
ADPNet & & 1.46 \% & 1.80 \% & 0.5 px & 0.5 px & 100.00 \% & 0.06 s & 1 core @ 2.5 Ghz (C/C++)\\
EdgeStereo-V2 & & 1.46 \% & 1.83 \% & 0.4 px & 0.5 px & 100.00 \% & 0.32 s & Nvidia GTX Titan Xp\\
MABNet\_origin & & 1.47 \% & 1.89 \% & 0.5 px & 0.5 px & 100.00 \% & 0.38 s & Nvidia rtx2080ti (Python)\\
SSPCVNet & & 1.47 \% & 1.90 \% & 0.5 px & 0.6 px & 100.00 \% & 0.9 s & 1 core @ 2.5 Ghz (Python)\\
W-Stereo-a-r & & 1.49 \% & 2.00 \% & 0.5 px & 0.5 px & 100.00 \% & 0.07 s & 1 core @ 2.5 Ghz (Python)\\
PSMNet & & 1.49 \% & 1.89 \% & 0.5 px & 0.6 px & 100.00 \% & 0.41 s & Nvidia Titan Xp\\
HSM & & 1.53 \% & 1.99 \% & 0.5 px & 0.6 px & 100.00 \% & 0.15 s & Titan X Pascal\\
MCVFNet & & 1.54 \% & 2.00 \% & 0.5 px & 0.6 px & 100.00 \% & 0.029 s & RTX 2080TI\\
AANet+ & & 1.55 \% & 2.04 \% & 0.4 px & 0.5 px & 100.00 \% & 0.06 s & NVIDIA V100 GPU\\
CoEx & & 1.55 \% & 1.93 \% & 0.5 px & 0.5 px & 100.00 \% & 0.027 s & RTX 2080Ti (Python)\\
BGNet+ & & 1.62 \% & 2.03 \% & 0.5 px & 0.6 px & 100.00 \% & 0.02 s & GPU @ 2.5 Ghz (Python)\\
MSDC-Net & & 1.63 \% & 2.09 \% & 0.5 px & 0.6 px & 100.00 \% & 0.6 s & 1 core @ 2.5 Ghz (C/C++)\\
WaveletStereo & & 1.66 \% & 2.18 \% & 0.5 px & 0.6 px & 100.00 \% & 0.27 s & 1 core @ 2.5 Ghz (C/C++)\\
SegStereo & & 1.68 \% & 2.03 \% & 0.5 px & 0.6 px & 100.00 \% & 0.6 s & Nvidia GTX Titan Xp\\
AutoDispNet-CSS & & 1.70 \% & 2.05 \% & 0.5 px & 0.5 px & 100.00 \% & 0.9 s & 1 core @ 2.5 Ghz (C/C++)\\
iResNet-i2 & & 1.71 \% & 2.16 \% & 0.5 px & 0.6 px & 100.00 \% & 0.12 s & 1 core @ 2.5 Ghz (C/C++)\\
DFGA-Net & & 1.74 \% & 2.18 \% & 0.5 px & 0.6 px & 100.00 \% & 0.09 s & NVIDIA RTX 3090 (PyTorch)\\
GC-NET & & 1.77 \% & 2.30 \% & 0.6 px & 0.7 px & 100.00 \% & 0.9 s & Nvidia GTX Titan X\\
ERSCNet & & 1.80 \% & 2.30 \% & 0.5 px & 0.6 px & 100.00 \% & 0.28 s & GPU @ 2.5 Ghz (Python)\\
AANet & & 1.91 \% & 2.42 \% & 0.5 px & 0.6 px & 100.00 \% & 0.06 s & GPU @ 2.5 Ghz (Python)\\
PDSNet & & 1.92 \% & 2.53 \% & 0.9 px & 1.0 px & 100.00 \% & 0.5 s & 1 core @ 2.5 Ghz (Python + C/C++)\\
PVStereo & & 1.98 \% & 2.47 \% & 0.7 px & 0.8 px & 100.00 \% & 0.10 s & 1 core @ 2.5 Ghz (Python)\\
FADNet & & 2.04 \% & 2.46 \% & 0.5 px & 0.6 px & 100.00 \% & 0.05 s & Tesla V100 (Python)\\
MMStereo & & 2.04 \% & 2.52 \% & 0.6 px & 0.7 px & 100.00 \% & 0.04 s & Nvidia Titan RTX (Python)\\
DualNet-kd & & 2.06 \% & 2.59 \% & 0.6 px & 0.6 px & 100.00 \% & 0.3 s & 1 core @ 2.5 Ghz (C/C++)\\
MDTE4 & & 2.10 \% & 2.70 \% & 0.8 px & 0.9 px & 100.00 \% & 0.03 s & 1 core @ 2.5 Ghz (C/C++)\\
RecResNet & & 2.21 \% & 2.94 \% & 0.6 px & 0.7 px & 100.00 \% & 0.3 s & GPU @ NVIDIA TITAN X (Tensorflow)\\
L-ResMatch & & 2.27 \% & 3.40 \% & 0.7 px & 1.0 px & 100.00 \% & 48 s & Titan X (Torch7, CUDA)\\
CNNF+SGM & & 2.28 \% & 3.48 \% & 0.7 px & 0.9 px & 100.00 \% & 71 s & TESLA K40C\\
SGM-Net & & 2.29 \% & 3.50 \% & 0.7 px & 0.9 px & 100.00 \% & 67 s & Titan X\\
SsSMnet & & 2.30 \% & 3.00 \% & 0.7 px & 0.8 px & 100.00 \% & 0.8 s & Titan Xp\\
PBCP & & 2.36 \% & 3.45 \% & 0.7 px & 0.9 px & 100.00 \% & 68 s & Nvidia GTX Titan X\\
Displets v2 & & 2.37 \% & 3.09 \% & 0.7 px & 0.8 px & 100.00 \% & 265 s & >8 cores @ 3.0 Ghz (Matlab + C/C++)\\
RTSnet & & 2.43 \% & 2.90 \% & 0.7 px & 0.7 px & 100.00 \% & 0.02 s & 1 core @ 2.5 Ghz (Python)\\
MC-CNN-acrt & & 2.43 \% & 3.63 \% & 0.7 px & 0.9 px & 100.00 \% & 67 s & Nvidia GTX Titan X (CUDA, Lua/Torch7)\\
cfusion & mv & 2.46 \% & 2.69 \% & 0.8 px & 0.8 px & 99.93 \% & 70 s & GPU (Matlab + CUDA)\\
Displets & & 2.47 \% & 3.27 \% & 0.7 px & 0.9 px & 100.00 \% & 265 s & >8 cores @ 3.0 Ghz (Matlab + C/C++)\\
MC-CNN & & 2.61 \% & 3.84 \% & 0.8 px & 1.0 px & 100.00 \% & 100 s & Nvidia GTX Titan (CUDA, Lua/Torch7)\\
Fast DS-CS & & 2.61 \% & 3.20 \% & 0.7 px & 0.8 px & 100.00 \% & 0.02 s & GPU @ 2.0 Ghz (Python + C/C++)\\
MABNet\_tiny & & 2.71 \% & 3.31 \% & 0.7 px & 0.8 px & 100.00 \% & 0.11 s & 1 core @ 2.5 Ghz (Python)\\
PRSM & fl mv & 2.78 \% & 3.00 \% & 0.7 px & 0.7 px & 100.00 \% & 300 s & 1 core @ 2.5 Ghz (C/C++)\\
SPS-StFl & fl ms & 2.83 \% & 3.64 \% & 0.8 px & 0.9 px & 100.00 \% & 35 s & 1 core @ 3.5 Ghz (C/C++)\\
MC-CNN-WS & & 3.02 \% & 4.45 \% & 0.8 px & 1.0 px & 100.00 \% & 1.35 s & 1 core 2.5 Ghz + K40 NVIDIA, Lua-Torch\\
VC-SF & fl mv & 3.05 \% & 3.31 \% & 0.8 px & 0.8 px & 100.00 \% & 300 s & 1 core @ 2.5 Ghz (C/C++)\\
Content-CNN & & 3.07 \% & 4.29 \% & 0.8 px & 1.0 px & 100.00 \% & 0.7 s & Nvidia GTX Titan X (Torch)\\
Deep Embed & & 3.10 \% & 4.24 \% & 0.9 px & 1.1 px & 100.00 \% & 3 s & 1 core @ 2.5 Ghz (C/C++)\\
SAFT-Stereo & & 3.12 \% & 3.64 \% & 0.8 px & 0.8 px & 100.00 \% & 0.007 s & NVIDIA GeForce RTX 4090\\
JSOSM & & 3.15 \% & 3.94 \% & 0.8 px & 0.9 px & 100.00 \% & 105 s & 8 cores @ 2.5 Ghz (C/C++)\\
FD-Fusion & & 3.16 \% & 3.85 \% & 0.7 px & 0.8 px & 100.00 \% & 0.01 s & 1 core @ 2.5 Ghz (C/C++)\\
OSF & fl & 3.28 \% & 4.07 \% & 0.8 px & 0.9 px & 99.98 \% & 50 min & 1 core @ 3.0 Ghz (Matlab + C/C++)\\
CoR & & 3.30 \% & 4.10 \% & 0.8 px & 0.9 px & 100.00 \% & 6 s & 6 cores @ 3.3 Ghz (Matlab + C/C++)\\
TCD-CRF & & 3.32 \% & 5.24 \% & 0.9 px & 1.9 px & 100.00 \% & 60 s & 4 cores @ 3.5 Ghz (C/C++)\\
SPS-St & & 3.39 \% & 4.41 \% & 0.9 px & 1.0 px & 100.00 \% & 2 s & 1 core @ 3.5 Ghz (C/C++)\\
PCBP-SS & & 3.40 \% & 4.72 \% & 0.8 px & 1.0 px & 100.00 \% & 5 min & 4 cores @ 2.5 Ghz (Matlab + C/C++)\\
P3SNet+ & & 3.55 \% & 4.42 \% & 0.8 px & 0.9 px & 100.00 \% & 0.01 s & GPU @ 2.5 Ghz (Python)\\
CBMV & & 3.56 \% & 4.73 \% & 0.9 px & 1.1 px & 100.00 \% & 250 s & 6 cores@3.0Ghz(Python,C/C++,CUDA TitanX)\\
P3SNet & & 3.65 \% & 4.46 \% & 0.9 px & 1.0 px & 100.00 \% & 0.01 s & GPU @ 2.5 Ghz (Python)\\
DDS-SS & & 3.83 \% & 4.59 \% & 0.9 px & 1.0 px & 100.00 \% & 1 min & 1 core @ 2.5 Ghz (Matlab + C/C++)\\
StereoSLIC & & 3.92 \% & 5.11 \% & 0.9 px & 1.0 px & 99.89 \% & 2.3 s & 1 core @ 3.0 Ghz (C/C++)\\
SMCM & & 3.94 \% & 5.24 \% & 0.9 px & 1.1 px & 100.00 \% & 1800 s & Nvidia GTX 1080 (Caffe)\\
PR-Sf+E & fl & 4.02 \% & 4.87 \% & 0.9 px & 1.0 px & 100.00 \% & 200 s & 4 cores @ 3.0 Ghz (Matlab + C/C++)\\
PCBP & & 4.04 \% & 5.37 \% & 0.9 px & 1.1 px & 100.00 \% & 5 min & 4 cores @ 2.5 Ghz (Matlab + C/C++)\\
DispNetC & & 4.11 \% & 4.65 \% & 0.9 px & 1.0 px & 100.00 \% & 0.06 s & Nvidia GTX Titan X (Caffe)\\
CSPMS & & 4.13 \% & 5.92 \% & 1.2 px & 1.6 px & 100.00 \% & 6 s & 4 cores @ 2.5 Ghz (C/C++)\\
SGM-post & & 4.27 \% & 5.33 \% & 1.0 px & 1.1 px & 100.00 \% & 5 s & 4 cores @ 2.5 Ghz (C/C++)\\
MBM & & 4.35 \% & 5.43 \% & 1.0 px & 1.1 px & 100.00 \% & 0.2 s & 1 core @ 3.0 Ghz (C/C++)\\
PR-Sceneflow & fl & 4.36 \% & 5.22 \% & 0.9 px & 1.1 px & 100.00 \% & 150 sec & 4 core @ 3.0 Ghz (Matlab - C/C++)\\
CRD-Fusion & & 4.38 \% & 5.40 \% & 0.9 px & 1.1 px & 100.00 \% & 0.02 s & GPU @ 2.5 Ghz (Python)\\
CoR-Conf & & 4.49 \% & 5.26 \% & 1.0 px & 1.2 px & 96.37 \% & 6 s & 6 cores @ 3.3 Ghz (Matlab + C/C++)\\
Flow2Stereo & & 4.58 \% & 5.11 \% & 1.0 px & 1.1 px & 100.00 \% & 0.05 s & GPU @ 2.5 Ghz (Python)\\
DispSegNet & & 4.68 \% & 5.66 \% & 0.9 px & 1.0 px & 100.00 \% & 0.9 s & GPU @ 2.5 Ghz (Python)\\
pSGM & & 4.68 \% & 6.13 \% & 1.0 px & 1.4 px & 100.00 \% & 7.92 s & 4 cores @ 3.5 Ghz (C/C++)\\
AARBM & & 4.86 \% & 5.94 \% & 1.0 px & 1.2 px & 100.00 \% & 0.25 s & 1 core @ 3.0 Ghz (C/C++)\\
AAFS+ & & 4.93 \% & 5.64 \% & 1.0 px & 1.1 px & 100.00 \% & 0.01 s & 1 core @ 2.5 Ghz (Python)\\
wSGM & & 4.97 \% & 6.18 \% & 1.3 px & 1.6 px & 97.03 \% & 6s & 1 core @ 3.5 Ghz (C/C++)\\
AABM & & 4.97 \% & 6.04 \% & 1.0 px & 1.2 px & 100.00 \% & 0.12 s & 1 core @ 3.1 Ghz (C/C++)\\
ATGV & & 5.02 \% & 6.88 \% & 1.0 px & 1.6 px & 100.00 \% & 6 min & >8 cores @ 3.0 Ghz (Matlab + C/C++)\\
rSGM & & 5.03 \% & 6.60 \% & 1.1 px & 1.5 px & 97.22 \% & 0.2 s & 4 cores @ 2.6 Ghz (C/C++)\\
iSGM & & 5.11 \% & 7.15 \% & 1.2 px & 2.1 px & 94.70 \% & 8 s & 2 cores @ 2.5 Ghz (C/C++)\\
RBM & & 5.18 \% & 6.21 \% & 1.1 px & 1.3 px & 100.00 \% & 0.2 s & 1 core @ 3.0 Ghz (C/C++)\\
ARW & & 5.20 \% & 6.87 \% & 1.2 px & 1.5 px & 99.33 \% & 4.6s & 1 core @ 3.5 Ghz (MATLAB+C/C++)\\
DLP & & 5.28 \% & 7.21 \% & 1.2 px & 2.0 px & 100.00 \% & 60 s & 8 cores @ >3.5 Ghz (C/C++)\\
Ensemble & & 5.34 \% & 6.91 \% & 1.5 px & 2.0 px & 100.00 \% & 135 s & 2 cores @ >3.5 Ghz (Matlab)\\
ALTGV & & 5.36 \% & 6.49 \% & 1.1 px & 1.2 px & 100.00 \% & 20 s & GPU @ 2.5 Ghz (C/C++)\\
SNCC & & 5.40 \% & 6.44 \% & 1.2 px & 1.3 px & 100.00 \% & 0.11 s & 1 core @ 3.1 Ghz (C/C++)\\
CAT & & 5.45 \% & 6.54 \% & 1.1 px & 1.2 px & 100.00 \% & 10 s & 1 core @ 3.5 Ghz (C/C++)\\
SGM & & 5.76 \% & 7.00 \% & 1.2 px & 1.3 px & 85.80 \% & 3.7 s & 1 core @ 3.0 Ghz (C/C++)\\
mSGM-LDE & & 6.01 \% & 8.22 \% & 1.4 px & 2.4 px & 100.00 \% & 55 s & 2 cores @ 2.5 Ghz (C/C++)\\
UHP & & 6.05 \% & 7.09 \% & 1.2 px & 1.3 px & 100.00 \% & 0.02 s & GPU @ 2.5 Ghz (Python)\\
AAFS & & 6.10 \% & 6.94 \% & 1.2 px & 1.3 px & 100.00 \% & 0.01 s & 1 core @ 2.5 Ghz (C/C++)\\
Toast2 & st & 6.16 \% & 7.42 \% & 1.2 px & 1.4 px & 95.39 \% & 0.03 s & 4 cores @ 3.5 Ghz (C/C++)\\
ITGV & & 6.20 \% & 7.30 \% & 1.3 px & 1.5 px & 100.00 \% & 7 s & 1 core @ 3.0 Ghz (Matlab + C/C++)\\
OASM-Net & & 6.39 \% & 8.60 \% & 1.3 px & 2.0 px & 100.00 \% & 0.73 s & GPU @ 2.5 Ghz (Python)\\
PASMNet\_192 & & 7.14 \% & 8.57 \% & 1.3 px & 1.5 px & 100.00 \% & 0.06 s & GPU @ 2.5 Ghz (Python)\\
Permutation Stereo & & 7.39 \% & 8.48 \% & 1.6 px & 1.8 px & 99.93 \% & 30 s & GPU @ 2.5 Ghz (Matlab)\\
OCV-SGBM & & 7.64 \% & 9.13 \% & 1.8 px & 2.0 px & 86.50 \% & 1.1 s & 1 core @ 2.5 Ghz (C/C++)\\
SSMW & & 7.83 \% & 8.95 \% & 1.6 px & 1.8 px & 99.99 \% & 2.5 min & 8 cores @ 2.5 Ghz (C/C++)\\
MSMW & st & 8.01 \% & 9.24 \% & 1.6 px & 1.7 px & 72.39 \% & 3 min & 4 cores @ 2.5 Ghz (C/C++)\\
HSMA & & 8.15 \% & 10.33 \% & 1.9 px & 2.9 px & 100.00 \% & 44s & 1 core @ 3.0 Ghz (C/C++)\\
ELAS & & 8.24 \% & 9.96 \% & 1.4 px & 1.6 px & 94.55 \% & 0.3 s & 1 core @ 2.5 Ghz (C/C++)\\
linBP & & 8.56 \% & 10.70 \% & 1.7 px & 2.7 px & 99.89 \% & 1.6 min & 1 core @ 3.0 Ghz (C/C++)\\
ADSM & & 8.71 \% & 10.05 \% & 2.1 px & 2.7 px & 100.00 \% & 125 s & 1 core @ 2.0 Ghz (C/C++)\\
Deep-Raw & & 8.93 \% & 11.07 \% & 3.9 px & 4.9 px & 100.00 \% & 1 s & 1 core @ 2.5 Ghz (C/C++)\\
S+GF (Cen) & & 9.03 \% & 11.21 \% & 2.1 px & 3.4 px & 100.00 \% & 140 s & 1 core @ 3.0 Ghz (C/C++)\\
CrossCensus & & 9.46 \% & 10.86 \% & 2.3 px & 2.7 px & 100.00 \% & 30 s & 1 core @ 2.5 Ghz (C/C++)\\
SymST-GP & & 9.79 \% & 11.66 \% & 2.5 px & 3.3 px & 100.00 \% & 0.254 s & Dual - Nvidia GTX Titan (CUDA)\\
SM\_GPTM & & 9.79 \% & 11.38 \% & 2.1 px & 2.6 px & 100.00 \% & 6.5 s & 2 cores @ 2.5 Ghz (C/C++)\\
LAMC-DSΜ & & 9.82 \% & 11.49 \% & 2.1 px & 2.7 px & 99.96 \% & 10.8 min & 2 cores @ 2.5 Ghz (Matlab)\\
IIW & & 10.78 \% & 12.62 \% & 3.3 px & 4.3 px & 70.85 \% & 5.5 s & 1 core @ 2.5 Ghz (C/C++)\\
SDM & & 10.95 \% & 12.14 \% & 2.0 px & 2.3 px & 63.58 \% & 1 min & 1 core @ 2.5 Ghz (C/C++)\\
HLSC\_mesh & & 11.22 \% & 12.82 \% & 2.3 px & 2.9 px & 100.00 \% & 800 s & 1 core @ 2.5 Ghz (Matlab + C/C++)\\
GF (Census) & & 11.65 \% & 13.76 \% & 4.5 px & 5.6 px & 100.00 \% & 120 s & 1 core @ 3.0 Ghz (C/C++)\\
BSM & & 11.74 \% & 13.44 \% & 2.2 px & 2.8 px & 97.02 \% & 2.5 min & 1 core @ 3.0 Ghz (C/C++)\\
GCSF & fl & 12.05 \% & 13.24 \% & 1.9 px & 2.1 px & 60.77 \% & 2.4 s & 1 core @ 2.5 Ghz (C/C++)\\
OCV-BM-post & & 12.28 \% & 13.76 \% & 2.1 px & 2.3 px & 47.11 \% & 0.1 s & 1 core @ 2.5 Ghz (C/C++)\\
GCS & & 13.38 \% & 14.54 \% & 2.1 px & 2.3 px & 51.06 \% & 2.2 s & 1 core @ 2.5 Ghz (C/C++)\\
GLDS & & 17.22 \% & 18.63 \% & 2.8 px & 3.2 px & 100.00 \% & 26 s & GPU @ 1.5 Ghz (C/C++)\\
CostFilter & & 19.99 \% & 21.08 \% & 5.0 px & 5.4 px & 100.00 \% & 4 min & 1 core @ 2.5 Ghz (Matlab)\\
GC+occ & & 33.49 \% & 34.73 \% & 8.6 px & 9.2 px & 87.57 \% & 6 min & 1 core @ 2.5 Ghz (C/C++)\\
VariableCros & & 34.84 \% & 36.11 \% & 12.4 px & 12.9 px & 95.66 \% & 30 s & 1 core @ 2.5 Ghz (Matlab)\\
ALE-Stereo & & 50.48 \% & 51.19 \% & 13.0 px & 13.5 px & 100.00 \% & 50 min & 1 core @ 3.0 Ghz (C/C++)\\
MEDIAN & & 52.61 \% & 53.67 \% & 7.7 px & 8.2 px & 99.95 \% & 0.01 s & 1 core @ 2.5 Ghz (C/C++)\\
AVERAGE & & 61.62 \% & 62.49 \% & 8.0 px & 8.6 px & 99.95 \% & 0.01 s & 1 core @ 2.5 Ghz (C/C++)
\end{tabular}