\begin{tabular}{c | c | c | c | c}
{\bf Method} & {\bf Setting} & {\bf mIoU Class} & {\bf mIoU Category} & {\bf Runtime}\\ \hline
PNF & & 73.06 \% & 84.97 \% & 15 s / GPU \\
HUGS & & 72.65 \% & 85.64 \% & 0.02 s / 1 core \\
GT Image + PSPNet & & 63.82 \% & 78.25 \% & 0.2 s / 1 core \\
FVS + PSPNet & & 60.86 \% & 74.61 \% & 0.4 s / 1 core \\
PBNR + PSPNet & & 58.43 \% & 71.99 \% & 1 s / 1 core \\
NeRF + PSPNet & & 49.57 \% & 69.14 \% & 15 s / GPU \\
mip-NeRF + PSPNet & & 48.25 \% & 67.47 \% & 15 s / GPU \\
PCL + PSPNet & & 37.21 \% & 44.55 \% & 0.4 s / 1 core
\end{tabular}