update

main.tex

@@ -265,7 +265,7 @@ To ensure both simplicity and efficiency in our model, the O2M regression head a
 \begin{figure}[t]
         \centering
         \includegraphics[width=0.9\linewidth]{thesis_figure/gnn.png} % 替换为你的图片文件名
-        \caption{The main architecture of O2O classification head. Each anchor is conceived as a node within the GNN, with the corresponding ROI feature $\boldsymbol{F}_i^{roi}$ as the node feature. The interconnecting directed edges are constructed according the scores emanating from the O2M classification head and the anchor geometric prior.}
+        \caption{The main architecture of O2O classification head. Each anchor is conceived as a node within the GNN, with the associated ROI feature $\left\{ \boldsymbol{F}_i^{roi}\right\}$ as the node feature. The interconnecting directed edges are established based on the scores emanating from the O2M classification head and the anchor geometric prior. In the illustration, the elements $A_{12}$, $A_{32}$ and $A_{65}$ are euqual to $1$ in the adjacent matrix $\boldsymbol{A}$, which implicit the existence of directed edges between corresponding node pairs (\textit{i.e.} $1\rightarrow2$, $3\rightarrow2$ and $6\rightarrow5$).}
         \label{o2o_cls_head}
 \end{figure}