update

main.tex

@@ -224,19 +224,22 @@ In recent years, fueled by advancements in deep learning and the availability of
 
         \begin{subfigure}{\subwidth}
                 \includegraphics[width=\imgwidth, height=\imgheight]{thsis_figure/view_nms/all2_gt.jpg}
+                \caption{GT}
         \end{subfigure}
         \begin{subfigure}{\subwidth}
                 \includegraphics[width=\imgwidth, height=\imgheight]{thsis_figure/view_nms/all2_pred50.jpg}
+                \caption{NMS50}
         \end{subfigure}
         \begin{subfigure}{\subwidth}
                 \includegraphics[width=\imgwidth, height=\imgheight]{thsis_figure/view_nms/all2_pred15.jpg}
+                \caption{NMS15}
         \end{subfigure}
         \begin{subfigure}{\subwidth}
                 \includegraphics[width=\imgwidth, height=\imgheight]{thsis_figure/view_nms/all2_nmsfree.jpg}
+                \caption{NMSFree}
         \end{subfigure}
         \vspace{0.5em}
 
-    
         \caption{hhh}
 \end{figure*}
 
@@ -339,7 +342,6 @@ In recent years, fueled by advancements in deep learning and the availability of
         \end{subfigure}
         \vspace{0.5em}
         
-
         \caption{hhh}
 \end{figure*}
 
@@ -399,18 +401,18 @@ Lanes are thin and long curves, a suitable lane prior helps the model to extract
 
 \textbf{Polar Coordinate system.} Since the lane anchor are set to be straight by default, it could be described by the straight line parameter. Previous work uses a ray to describe a 2D line anchor, and the parameters of a ray contain the start point's coordinates and the orientation/angle, i.e., $\left\{\theta, P_{xy}\right\}$, as shown in Figure \ref{coord} (a). \cite{}\cite{} define the start points locates on the three image boundary. And \cite{} points out that this not reasonable because the real start point of a lane could be in any location within an image. In our analysis, using a ray may cause ambiguity in describing a line because a line may have infinite start points and the start point of the lane is subjective. As illustrated in Figure \ref{coord} (a), the yellow and darkgreen start points with the same orientation $\theta$ describe the same line, and either of them could be chosen in different datasets. This ambiguity arises because a straight line has two degrees of freedom while a ray has three degrees of freedom. To address this issue, as shown in Figure \ref{coord} (b), we use polar coordinate systems to describe a lane anchor with two parameters for radius and angle $\left\{\theta, r\right\}$, where $\theta \in \left[-\frac{\pi}{2}, \frac{\pi}{2}\right)$ and $r \in \left(-\infty, +\infty\right)$.
 
-
 \begin{figure}[t]
         \centering
+        \def\subwidth{0.24\textwidth}
+        \def\imgwidth{\linewidth}
+        \def\imgheight{0.4\linewidth}
+        
         \begin{subfigure}{\subwidth}
-            \centering
+                \includegraphics[width=\imgwidth]{thsis_figure/coord/ray.png}
-            \includegraphics[width=1\linewidth]{thsis_figure/coord/ray.png}
                 \caption{}
         \end{subfigure}
-        \hfill
         \begin{subfigure}{\subwidth}
-            \centering
+                \includegraphics[width=\imgwidth]{thsis_figure/coord/polar.png}
-            \includegraphics[width=1\linewidth]{thsis_figure/coord/polar.png}
                 \caption{}
         \end{subfigure}
         \caption{Different descriptions for anchor parameters. (a) Ray: start point and orientation. (b) polar: radius and angle.}
@@ -460,7 +462,7 @@ where $BCE\left( \cdot , \cdot \right) $ denotes the binary cross entropy loss a
 
 \begin{figure}[t]
         \centering
-        \includegraphics[width=0.48\textwidth]{thsis_figure/coord/localpolar.png}
+        \includegraphics[width=\linewidth]{thsis_figure/coord/localpolar.png}
         \caption{Label construction for local polar proposal module.}
         \label{lphlabel}
 \end{figure}
@@ -490,21 +492,21 @@ Then the feature points can be sample on the line anchor. The y coordinate of po
 
 \begin{figure}[t]
         \centering
-        \includegraphics[width=0.49\textwidth]{thsis_figure/triplet_head.png} % 替换为你的图片文件名
+        \includegraphics[width=\linewidth]{thsis_figure/triplet_head.png} % 替换为你的图片文件名
         \caption{The main architecture of global head}
         \label{triplet}
 \end{figure}
 
 \begin{figure}[t]
         \centering
-        \includegraphics[width=0.4\textwidth]{thsis_figure/gnn.png} % 替换为你的图片文件名
+        \includegraphics[width=\linewidth]{thsis_figure/gnn.png} % 替换为你的图片文件名
         \caption{The main architecture of our model.}
         \label{gnn}
 \end{figure}
 
 \begin{figure}[t]
         \centering
-        \includegraphics[width=0.49\textwidth]{thsis_figure/GLaneIoU.png} % 替换为你的图片文件名
+        \includegraphics[width=\linewidth]{thsis_figure/GLaneIoU.png} % 替换为你的图片文件名
         \caption{Illustrations of GLaneIoU re-defined in our work.}
         \label{glaneiou}
 \end{figure}
@@ -529,7 +531,7 @@ In the testing stage, anchors with the top-$k_{l}$ confidence are the chosed as
 
 \begin{figure}[t]
         \centering
-        \includegraphics[width=0.48\textwidth]{thsis_figure/anchor_num_method.png}
+        \includegraphics[width=\linewidth]{thsis_figure/anchor_num_method.png}
         \caption{Anchor Number and f1-score of different methods on CULane.}
         \label{anchor_num_method}
 \end{figure}
@@ -559,7 +561,7 @@ In the testing stage, anchors with the top-$k_{l}$ confidence are the chosed as
 \begin{table*}[htbp]
         \centering
         \caption{Dataset \& preprocess}
-        \begin{adjustbox}{width=0.9\linewidth}
+        \begin{adjustbox}{width=\linewidth}
         \begin{tabular}{l|l|ccccc}
         \toprule
         \multicolumn{2}{c|}{\textbf{Dataset}} & CULane & TUSimple & LLAMAS & DL-Rail & Curvelanes \\