\begin{table}[!h]
	\centering
	\scalebox{0.86}{
		\begin{tabular}{lccc}
			\toprule
			\bf{Model} & Backbone & $1$-shot & $5$-shot \\
			\midrule
			ProtoNet*\cite{Snell2017PrototypicalNF} & ResNet12&51.61$\pm$0.44& 72.28$\pm$0.36 \\
			ProtoNet** w/ \Eq{6} &ResNet12& \bf59.57$\pm$0.61 & \bf84.29$\pm$0.40 \\
			\bottomrule
		\end{tabular}
	}
	\caption{
		Performance comparison of standard ProtoNet baseline and a ProtoNet using self-attention on \textit{mini}ImageNet dataset in the $5$-way $k$-shot scenario. ``*'': denotes reproduced results and ``**'' denotes a model using a non-parametric version of the proposed method following \Eq{6}.
	} 
	\label{tab:base}
\end{table}