\begin{figure}[t]
\begin{center}
\includegraphics[width=\linewidth]{fig/teaser_fig.pdf}
\end{center}
\caption{
\textbf{Visual intuition} of the proposed framework compared to other approaches using attention. \textbf{(a)} Standard ProtoNet\cite{Snell2017PrototypicalNF} architecture with nearest neighbour classifier (NN). \textbf{(b)} Adaptation of support embeddings only without using relations in the query sets, with backbone pre-training \cite{ye2020few}. \textbf{(c)} Our method leverages attention from each set in a cross-relational perspective to improve classification performance by re-weighting features.
}
\label{fig:teaser}
\end{figure}