  {
    \begin{tabular}{lcc}
    \toprule
    \bfseries Model Variant & \bfseries ImageNet pretrained? &  \bfseries Acc (\%) \\
    \midrule
    
    EfficientNet & \ding{55} & 72.6 \\
    Y-Net & \ding{55} & 72.0 \\
    \frameworkabbr{} (ours) & \ding{55} & \textbf{86.7} \\
    % \textcolor{red}{TBM–VLM Random} & \ding{55} & 79.7 \\
    \frameworkabbr{} without perturbation ($\alpha$ =1) & \ding{55} & 86.5 \\
    % TBM (All Tools, val on VLM-sel tools) & Separate & 70.1 \\
    % TBM–VLM Random & Separate & 83.3 \\
    % TBM–VLM Stochastic & Separate & \textbf{87.7} \\
    % TBM–VLM Exact & Separate & 85.9 \\
    % TBM (All Tools, val on VLM-sel tools) & \ding{55} & 84.2 \\
    \midrule
    % TBM (All Tools, val on VLM-sel tools) & \ding{51} & 64.9 \\
    EfficientNet & \ding{51} & 88.6 \\
    Y-Net & \ding{51} & 88.2 \\
    \frameworkabbr{} (ours) & \ding{51} & \textbf{92.3} \\
    % \textcolor{red}{TBM–VLM Random} & \ding{51} & 90.3 \\
    \frameworkabbr{} without perturbation ($\alpha$ =1) & \ding{51} & 90.2 \\
    \bottomrule
    \end{tabular}}