



\begin{table*}[t]
\small
\caption{Quantitative results (\%) in polyp dataset with 10\% labeled data. The left and right parts show the results for single and sequence frames, respectively. } 

\label{polyp_table}
\begin{center}
    \begin{tabular}{ l  | c |c |c |c |c |c }
    \toprule

    \multicolumn{1}{l}{} &  \multicolumn{3}{c}{Single frame data} & \multicolumn{3}{c}{Sequence frame data} \\
    \hline
    \multicolumn{1}{l}{Methods} &  \multicolumn{1}{c}{Dice} & \multicolumn{1}{c}{Sensitivity} & \multicolumn{1}{c|}{Specificity} &  \multicolumn{1}{c}{Dice} & \multicolumn{1}{c}{Sensitivity} & \multicolumn{1}{c}{Specificity}\\
    

            
    \hline
    U-Net & 75$\pm$\textbf{30} & 73$\pm$31 & \textbf{100$\pm$1}
            & 64$\pm$38 & 64$\pm$38 & \textbf{100$\pm$1}  \\
    \hline
            
    Endo-SemiS-1 & 76$\pm$34 & 75$\pm$34 & \textbf{100$\pm$1}
    & 69$\pm$39 &  67$\pm$39
            &   \textbf{100$\pm$1} \\    



    Endo-SemiS-2 & \textbf{79$\pm$30} & 77$\pm$31 & \textbf{100$\pm$1}
    & \textbf{71$\pm$37} &  70$\pm$37
            &  \textbf{100}$\pm$2  \\ 


    \hline
    Upper bound U-Net & \textbf{79$\pm$30}* & \textbf{79$\pm$31} & 99$\pm$2
            & 69$\pm$\textbf{37}* & \textbf{74$\pm$35} & 99$\pm$2  \\



    \bottomrule
\multicolumn{7}{l}{
\begin{tabular}{@{}l@{}@{}} 
    * denotes our implementation; benchmark \cite{ali2023multi} results are 79\% and 66\%.
\end{tabular}
    } 

    % 0.66±0.38


     
\end{tabular} 

\end{center}
\end{table*}




