data/paper/paper-data/table_rank.tex

% Generated by docs/paper/paper_data.py (ten-seed means; superscript: rank in the column)
\begin{tabularx}{\linewidth}{@{}>{\raggedright\arraybackslash}X l r r cccc@{}}
\toprule
tile encoder & architecture & params & CPU s & Yale$\to$Yale & TCGA$\to$TCGA & TCGA$\to$Yale & Yale$\to$TCGA \\
\midrule
\textbf{Ours (final)} & ViT-S/16 & 22M & 8.4 & \textbf{0.844$^{3}$} & \textbf{0.690$^{1}$} & \textbf{0.812$^{1}$} & \textbf{0.650$^{3}$} \\
Phikon & ViT-B/16 & 86M & 23.0 & 0.872$^{2}$ & 0.679$^{2}$ & 0.811$^{2}$ & 0.662$^{1}$ \\
H-optimus-0 & ViT-g/14 & 1.1B & 312 & 0.897$^{1}$ & 0.676$^{3}$ & 0.805$^{3}$ & 0.653$^{2}$ \\
Hibou-B & ViT-B/14 & 86M & -- & 0.786$^{5}$ & 0.626$^{4}$ & 0.749$^{4}$ & 0.637$^{5}$ \\
Midnight-12k & ViT-g/14 & 1.1B & 312$^\dagger$ & 0.834$^{4}$ & 0.623$^{5}$ & 0.727$^{5}$ & 0.638$^{4}$ \\
ResNet-50$^\ast$ & CNN & 26M & -- & 0.700$^{6}$ & 0.545$^{6}$ & 0.638$^{6}$ & 0.568$^{7}$ \\
DINOv2-S$^\ast$ & ViT-S/14 & 22M & -- & 0.676$^{7}$ & 0.495$^{7}$ & 0.589$^{7}$ & 0.573$^{6}$ \\
\bottomrule
\end{tabularx}