\begin{table}[h]
	\vskip 0.05in
	\begin{center}
		\begin{adjustbox}{width=\columnwidth}
			\begin{small}
				\begin{sc}
                \subfigure[CIFAR-10]{
					\begin{tabular}{l|c c c c} 
						\toprule
						Pearson & Recon. & Denois. & Inpaint. & Classif. \\ 
						\hline
						Recon. & & & &  \\
                            Denois.      & $0.29 \pm 0.11$  & & &  \\
                            Inpaint.     & $0.3 \pm 0.04$   & $0.28 \pm 0.03$ & &  \\
                            Classif. & $0.19 \pm 0.01$  & $0.21 \pm 0.02$ & $0.18 \pm 0.02$ &    \\
						\bottomrule
					\end{tabular}
     }
                \subfigure[CIFAR-100]{
                    \begin{tabular}{l|c c c c} 
						\toprule
						Pearson & Recon. & Denois. & Inpaint. & Classif. \\ 
						\hline
                        Recon. &  &  &  &  \\
                        Denois.      & $0.35 \pm 0.08$  &  &  &   \\
                        Inpaint.     & $0.31 \pm 0.05$  & $0.42 \pm 0.07$ &  &  \\
                        Classif. & $0.21 \pm 0.01$  & $0.22 \pm 0.01$ & $0.2 \pm 0.01$ &  \\
						\bottomrule
					\end{tabular}
     }
				\end{sc}
			\end{small}	
		\end{adjustbox}
	\end{center}
        \caption{Pearson correlation of feature importance (mean $\pm$ standard deviation) across different pretext tasks for CIFAR10 and CIFAR100.}
        \label{tab:extra_result_cifar_saliency}
\vspace{0in}
\end{table}

% \begin{tabular}{lllll}
% \hline
%                 & Reconstruction   & Denoising       & Inpainting      & Classification   \\
% \hline
%  Reconstruction & $1.0 \pm 0.0$    & $0.26 \pm 0.05$ & $0.26 \pm 0.04$ & $0.19 \pm 0.01$  \\
%  Denoising      & $0.26 \pm 0.05$  & $1.0 \pm 0.0$   & $0.24 \pm 0.03$ & $0.19 \pm 0.03$  \\
%  Inpainting     & $0.26 \pm 0.04$  & $0.24 \pm 0.03$ & $1.0 \pm 0.0$   & $0.18 \pm 0.06$  \\
%  Classification & $0.19 \pm 0.01$  & $0.19 \pm 0.03$ & $0.18 \pm 0.06$ & $1.0 \pm 0.0$    \\
% \hline
% \end{tabular}

% % Saliency map pearsonn corr for cifar-10

% \begin{tabular}{lllll}
% \hline
%                 & Reconstruction   & Denoising       & Inpainting      & Classification   \\
% \hline
%  Reconstruction & $1.0 \pm 0.0$    & $0.3 \pm 0.03$  & $0.25 \pm 0.03$ & $0.19 \pm 0.04$  \\
%  Denoising      & $0.3 \pm 0.03$   & $1.0 \pm 0.0$   & $0.32 \pm 0.07$ & $0.23 \pm 0.02$  \\
%  Inpainting     & $0.25 \pm 0.03$  & $0.32 \pm 0.07$ & $1.0 \pm 0.0$   & $0.2 \pm 0.03$   \\
%  Classification & $0.19 \pm 0.04$  & $0.23 \pm 0.02$ & $0.2 \pm 0.03$  & $1.0 \pm 0.0$    \\
% \hline
% \end{tabular}

% Saliency maps pearsson corr for cifar-100