\begin{table*}[t]
\centering
\resizebox{1.0\textwidth}{!}{
\renewcommand{\arraystretch}{1.25}
\begin{tabular}{lcccc}

\toprule

\textbf{Literature}

&

$k$

& 

$\mathsf{dist}$

&
$\mathcal{D}_{\text{ref}}$

&

Require labels
\\
\toprule  



\citet{lee2018simple}      & 1           & Mahalanobis distance               & Class centroids & Yes                             

\\ \midrule 

\citet{van2020uncertainty} & 1           & RBF kernel & Class centroids & Yes                             

\\ \midrule 


\citet{tack2020csi}        & 1           & Cosine distance                  & Training instances     & No                            

\\ \midrule 

\citet{mirzae2022fake}     & $\geq 1$      & Euclidean distance                 & Training instances     & No      





\\

\bottomrule 
\end{tabular}
}
\caption{Summary of existing works on novelty detection in representation space. The }
\label{tab:summary_distance}
\end{table*}
