% \begin{figure*}[ht]
%   \centering
%   %---- the EnviroAtlas image ----
%   \begin{subfigure}[b]{\textwidth}
%     \includegraphics[width=\textwidth]{figures/EnviroAtlas.png}
%     \caption{\textbf{Performance and label-efficiency of a Fully-Convolutional Network on the EnviroAtlas Land Cover Segmentation Dataset with \texttt{STACK} and \texttt{PROC-STACK} geographic input fusion}. Test subsets in Austin and Durham are out-of-sample test splits. Results averaged over $10$ random seeds. $1 \times$ standard error of Pittsburgh reported $\leq 1e-3$ over 10 random seeds. Label-efficiency results shown in \Cref{tab:enviroatlas}}
%     \label{fig:enviroatlas}
%   \end{subfigure}

%   \vspace{1em}

%   %---- the table, unchanged ----
% \begin{subtable}[b]{\textwidth}
%   \centering
%   \footnotesize
%   \begin{tabular*}{\textwidth}{@{\extracolsep{\fill}}l c >{\columncolor{gray!20}}c >{\columncolor{gray!20}}c c >{\columncolor{gray!20}}c >{\columncolor{gray!20}}c c >{\columncolor{gray!20}}c >{\columncolor{gray!20}}c@{}}
%     \toprule
%     \textbf{Subset (\%)} 
%       & \multicolumn{3}{c}{\textbf{Pittsburgh}} 
%       & \multicolumn{3}{c}{\textbf{Austin}} 
%       & \multicolumn{3}{c}{\textbf{Durham}} \\
%     \cmidrule(lr){2-4} \cmidrule(lr){5-7} \cmidrule(lr){8-10}
%       & \textbf{RGB} & \textbf{Prior} & \textbf{All} 
%       & \textbf{RGB} & \textbf{Prior} & \textbf{All} 
%       & \textbf{RGB} & \textbf{Prior} & \textbf{All} \\
%     \midrule
%     1\%  & 0.51                & \textbf{0.61}                & 0.52                
%          & 0.53 $\pm$ 0.03      & \textbf{0.58 $\pm$ 0.03}      & 0.54 $\pm$ 0.02       
%          & 0.61 $\pm$ 0.00      & \textbf{0.66 $\pm$ 0.03}      & 0.62 $\pm$ 0.00\\
%     2\%  & 0.51                & \textbf{0.58}                & 0.54                
%          & 0.53 $\pm$ 0.01      & \textbf{0.59 $\pm$ 0.01}      & 0.55 $\pm$ 0.01       
%          & 0.61 $\pm$ 0.00      & \textbf{0.67 $\pm$ 0.01}      & 0.63 $\pm$ 0.01\\
%     5\%  & 0.54                & \textbf{0.65}                & 0.55                
%          & 0.58 $\pm$ 0.00      & \textbf{0.65 $\pm$ 0.01}      & 0.55 $\pm$ 0.01       
%          & 0.64 $\pm$ 0.02      & \textbf{0.72 $\pm$ 0.01}      & 0.62 $\pm$ 0.01\\
%     \bottomrule
%   \end{tabular*}
%   \caption{\textbf{Performance of EnviroAtlas prior, all raster inputs versus RGB input with $1\%, 2\%$, and $5\%$ of input training data.}}
%   \label{tab:enviroatlas}
% \end{subtable}
% \end{figure*}

\begin{figure*}[ht]
  \centering
  \includegraphics[width=\textwidth]{figures/EnviroAtlas.png}
  \caption{\textbf{Performance and label-efficiency of a FCN on the EnviroAtlas Land Cover Segmentation Dataset with \texttt{STACK} and \texttt{PROC-STACK} geographic input fusion}. Austin and Durham are out-of-sample test splits. Results averaged over $10$ random seeds. $1 \times$ standard error of Pittsburgh reported $\leq 1e^{-3}$ over 10 random seeds. 
  %Label-efficiency results shown in \Cref{tab:enviroatlas}
  }
  \label{fig:enviroatlas}
\end{figure*}
\begin{table*}[h!]
  \centering
  \footnotesize
  \begin{adjustbox}{width=1\textwidth,center}
    \begin{tabular}{@{\extracolsep{\fill}}
      l c
      >{\columncolor{gray!20}}c >{\columncolor{gray!20}}c
      c >{\columncolor{gray!20}}c >{\columncolor{gray!20}}c
      c >{\columncolor{gray!20}}c >{\columncolor{gray!20}}c
      @{}}
      \toprule
      \textbf{Subset (\%)} &
        \multicolumn{3}{c}{\textbf{Pittsburgh}} &
        \multicolumn{3}{c}{\textbf{Austin}} &
        \multicolumn{3}{c}{\textbf{Durham}} \\
      \cmidrule(lr){2-4}\cmidrule(lr){5-7}\cmidrule(lr){8-10}
          & \textbf{RGB} & \textbf{Prior} & \textbf{All}
          & \textbf{RGB} & \textbf{Prior} & \textbf{All}
          & \textbf{RGB} & \textbf{Prior} & \textbf{All}\\
      \midrule
      1\% & 0.51 & \textbf{0.61} & 0.52
           & 0.53 $\pm$ 0.03 & \textbf{0.58 $\pm$ 0.03} & 0.54 $\pm$ 0.02
           & 0.61 $\pm$ 0.00 & \textbf{0.66 $\pm$ 0.03} & 0.62 $\pm$ 0.00\\
      2\% & 0.51 & \textbf{0.58} & 0.54
           & 0.53 $\pm$ 0.01 & \textbf{0.59 $\pm$ 0.01} & 0.55 $\pm$ 0.01
           & 0.61 $\pm$ 0.00 & \textbf{0.67 $\pm$ 0.01} & 0.63 $\pm$ 0.01\\
      5\% & 0.54 & \textbf{0.65} & 0.55
           & 0.58 $\pm$ 0.00 & \textbf{0.65 $\pm$ 0.01} & 0.55 $\pm$ 0.01
           & 0.64 $\pm$ 0.02 & \textbf{0.72 $\pm$ 0.01} & 0.62 $\pm$ 0.01\\
      \bottomrule
    \end{tabular}
  \end{adjustbox}
  \caption{\textbf{Performance of EnviroAtlas prior, all raster inputs versus RGB input with $1\%, 2\%$, and $5\%$ of input training data.}}
  \label{tab:enviroatlas}
\end{table*}
