
\begin{table}[h!]
  \centering
  \small
  % adjustbox with width and center options
  \begin{adjustbox}{width=1\linewidth,center}
    \begin{tabular}{cccccc}
      \toprule
      Sub\% & \multicolumn{2}{c}{\texttt{PROC-STACK}, FCN$_{\text{out}}$} & RGB Only & \texttt{STACK} \\
      \cmidrule(r){2-3}
            & 1 & 3 &  & \\
      \midrule
      1\%   & \textbf{40.8/26.3} & 35.7/22.7  & 5.5/2.9 & 26.5/10.1 \\
      5\%   & \textbf{49.5/33.7} & 47.0/31.5  & 45.7/29.9 & 47.0/31.6 \\
      10\%  & 52.7/36.6 & 53.0/36.9  & 49.0/32.6 & \textbf{54.7/37.9} \\
      20\%  & 55.2/38.9  & 54.7/38.5 & 53.8/37.7 & \textbf{57.3/39.9} \\
      35\%  & 56.8/40.5  & 55.9/39.7 & 54.6/38.4 & \textbf{59.3/42.5} \\
      50\%  & 57.1/40.9 & 57.0/40.7  & 56.3/38.7 & \textbf{60.3/42.8} \\
      75\%  & 58.1/41.8 & 58.5/42.3  & 56.9/40.3 & \textbf{60.7/43.9} \\
      100\% & 59.9/43.6 & 59.3/43.1 & 57.9/39.5 & \textbf{61.4/42.9} \\
      \bottomrule
    \end{tabular}
  \end{adjustbox}
  \caption{\textbf{Test Dice/IoU score when OSM and EU-DEM rasters are fused via a trainable FCN with \texttt{PROC-STACK} on the SustainBench field‐boundary delineation task.} We allow the intermediate FCN to output (FCN$_{\text{out}}$) $1$ and $3$‐channel raster outputs. Averaged over $5$ random seeds. $100\%$ corresponds to $1572$ total training points. RGB, \texttt{STACK} reported from \Cref{fig:sustainbench}.}
  \label{tab:sustainbench_ablation}
\end{table}

\begin{table}[h!]
  \centering
  % scale to 85% of line width and center
  \begin{adjustbox}{width=1\linewidth,center}
    \begin{tabular}{cccc}
      \toprule
      Sub\% & \texttt{F} SatCLIP & Register Token & \texttt{FT} SatCLIP \\
      \midrule
      1\%   & \textbf{46.3}/\textbf{36.1}  & 45.1/33.2 & 45.4/34.7 \\
      2\%   & \textbf{55.6}/\textbf{45.9}  & 50.3/40.5 & 53.2/42.8 \\
      5\%   & 62.7/54.1                   & 61.6/53.9 & \textbf{63.5}/\textbf{56.2} \\
      20\%  & \textbf{66.8}/\textbf{60.6}  & 65.3/59.8 & 65.3/59.1 \\
      50\%  & \textbf{70.1}/\textbf{64.7}  & 68.1/60.9 & 67.1/60.1 \\
      100\% & \textbf{70.3}/\textbf{65.2}  & 66.5/59.6 & 66.0/59.1 \\
      \bottomrule
    \end{tabular}
  \end{adjustbox}
  \caption{\textbf{Average Precision (Macro) / Multi‐Label F1 score with Frozen (\texttt{F}) vs Register vs Fine‐tuned (\texttt{FT}) SatCLIP auxiliary token on the BigEarthNet v2.0 dataset.} Register‐token results use one additional “register” token in a ViT-B backbone. $100\%$ corresponds to $\approx 430\,000$ image patches; metrics averaged over 5 random seeds.}
  \label{tab:satclip_ablation}
\end{table}

% \begin{table*}[t!]              % a single double-column float
%   \centering
%   \begin{floatrow}

%   %==============================================================
%   % Left column: PROC-STACK ablation table
%   %==============================================================
%   \ffigbox[\dimexpr0.48\textwidth\relax]{%
%     \small                          % keep same font size as before
%     \begin{tabular}{cccccc}
%       \toprule
%       Sub\% & \multicolumn{2}{c}{\texttt{PROC-STACK}, FCN$_{\text{out}}$} & RGB Only & \texttt{STACK} \\
%       \cmidrule(r){2-3}
%             & 1 & 3 &  & \\
%       \midrule
%       1\%   & \textbf{40.8/26.3} & 35.7/22.7  & 5.5/2.9 & 26.5/10.1 \\
%       5\%   & \textbf{49.5/33.7} & 47.0/31.5  & 45.7/29.9 & 47.0/31.6 \\
%       10\%  & 52.7/36.6 & 53.0/36.9  & 49.0/32.6 & \textbf{54.7/37.9} \\
%       20\%  & 55.2/38.9  & 54.7/38.5 & 53.8/37.7 & \textbf{57.3/39.9} \\
%       35\%  & 56.8/40.5  & 55.9/39.7 & 54.6/38.4 & \textbf{59.3/42.5} \\
%       50\%  & 57.1/40.9 & 57.0/40.7  & 56.3/38.7 & \textbf{60.3/42.8} \\
%       75\%  & 58.1/41.8 & 58.5/42.3  & 56.9/40.3 & \textbf{60.7/43.9} \\
%       100\% & 59.9/43.6 & 59.3/43.1 & 57.9/39.5 & \textbf{61.4/42.9} \\
%       \bottomrule
%     \end{tabular}
%   }{%
%     \caption{\textbf{Test Dice/IoU score when OSM and EU-DEM rasters are fused via a trainable FCN with \texttt{PROC-STACK}.} We allow the intermediate FCN to output (FCN$_{\text{out}}$) $1$ and $3$ channel raster outputs. Averaged over $5$ random seeds. `RGB Only', `\texttt{STACK}' reported from \Cref{fig:sustainbench}.}%
%     \label{tab:sustainbench_ablation}%
%   }

%   % \hfill                              % horizontal gap

%   %==============================================================
%   % Right column: SatCLIP ablation table
%   %==============================================================
%   \ffigbox[\dimexpr0.48\textwidth\relax]{%
%     \begin{tabular}{cccc}
%       \toprule
%       Sub\% & \texttt{F} SatCLIP & Register Token & \texttt{FT} SatCLIP \\
%       \midrule
%       1\%   & \textbf{46.3}/\textbf{36.1}  & 45.1/33.2 & 45.4/34.7 \\
%       2\%   & \textbf{55.6}/\textbf{45.9}  & 50.3/40.5 & 53.2/42.8 \\
%       5\%   & 62.7/54.1                  & 61.6/53.9 & \textbf{63.5}/\textbf{56.2} \\
%       20\%  & \textbf{66.8}/\textbf{60.6}  & 65.3/59.8 & 65.3/59.1 \\
%       50\%  & \textbf{70.1}/\textbf{64.7}  & 68.1/60.9 & 67.1/60.1 \\
%       100\% & \textbf{70.3}/\textbf{65.2}  & 66.5/59.6 & 66.0/59.1 \\
%       \bottomrule
%     \end{tabular}
%   }{%
%     \caption{\textbf{Average Precision (Macro)/ Multi-Label F1 score with Frozen (\texttt{F}) vs Register vs Fine-tuned (\texttt{FT}) SatCLIP auxiliary token on the BigEarthNetv2.0 dataset}. Results with a register token are reported with the addition of one register token to a ViT-B. Results averaged over 5 random seeds.}%
%     \label{tab:satclip_ablation}%
%   }

%   \end{floatrow}
% \end{table*}