我有下表
\documentclass[10pt,twocolumn,letterpaper]{article}
\usepackage{graphicx}
\usepackage{array}
\newcolumntype{M}[1]{>{\centering\arraybackslash}m{#1}}
\begin{document}
\section{Results}
\label{Sec:results}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Table %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{table}[tb]
\centering
\tabcolsep = 0.01\textwidth %0.18cm
\begin{tabular}{| m{0.17\textwidth} | M{0.1\textwidth} | M{0.1\textwidth}|}
\hline
\centering\textbf{Method} & \textbf{Input} & \textbf{Accuracy}
\tabularnewline
\hline
3DShapeNets & volumetric & 84.7\\
Voxnet & volumetric & 85.9\\
\hline
PointNet & points & 89.2 \\
PointNet++ & points & 90.7 \\
Kd-network& points & 91.8 / 90.6 \\
\hline
Ours & points & ? \\
\hline
\end{tabular}
\caption{Classification Accuracy on ModelNet40 dataset}
\label{table:ClassificationAcc}
\end{table}
\begin{table}[tb]
\centering
\tabcolsep = 0.01\textwidth %0.18cm
\begin{tabular}{|m{0.12\textwidth}|M{0.1\textwidth}|M{0.15\textwidth}|M{0.08\textwidth}|}
\hline
\centering\textbf{Method} & \textbf{ Data} & \textbf{Permutations} & \textbf{Points}
\tabularnewline
\hline
PointNet & & &\\
PointNet++ & & &\\
Kd-Network & & &\\
\hline
\end{tabular}
\caption{Challenges summary }
\label{table:ChallangeComp}
\end{table}
\subsection{Architecture Design Analysis}
\label{SubSec:Arch_Dn_Analysis}
\subsection{Visualizations}
\label{SubSec:Vis}
\end{document}
我收到一个警告Overfull \hbox (... too wide)
...为什么会发生这种情况?我该如何解决?
答案1
有问题的是你的第二个表格。它比列宽还宽。可以使它变窄,但是表格的内容是未知的,因此在实际文档中获得的结果可能不起作用。
如您所见,我改变了表格布局。现在看起来更好了。为此,我添加了两个新包:booktabs
用于规则和siunitx
用于S
列类型。我还假设列标题的内容是最宽的单元格内容。
\documentclass[10pt,twocolumn,letterpaper]{article}
\usepackage{siunitx}
\usepackage{array, booktabs}
\newcommand\mc[1]{\multicolumn{1}{>{\bfseries}c}{#1}}
\usepackage{lipsum}
\begin{document}
\section{Results}
\label{Sec:results}
\lipsum[22]
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Table
\begin{table}[htb]
\centering
\begin{tabular}{l l S[table-format=2.1]}
\toprule
\mc{Method} & \mc{Input} & \mc{Accuracy} \\
\midrule
3DShapeNets & volumetric & 84.7 \\
Voxnet & volumetric & 85.9 \\
\midrule
PointNet & points & 89.2 \\
PointNet++ & points & 90.7 \\
Kd-network & points & {91.8 / 90.6} \\
\midrule
Ours & points & {?} \\
\bottomrule
\end{tabular}
\caption{Classification Accuracy on ModelNet40 dataset}
\label{table:ClassificationAcc}
\end{table}
\lipsum[44]
\begin{table}[htb]
\centering
\begin{tabular}{ l l l l}
\toprule
\mc{Method} & \mc{Data} & \mc{Permutations} & \mc{Points} \\
\midrule
PointNet & & & \\
PointNet++ & & & \\
Kd-Network & & & \\
\bottomrule
\end{tabular}
\caption{Challenges summary }
\label{table:ChallangeComp}
\end{table}
\lipsum
\subsection{Architecture Design Analysis}
\label{SubSec:Arch_Dn_Analysis}
\subsection{Visualizations}
\label{SubSec:Vis}
\end{document}
多于姆韦没有错误,没有警告,没有坏框。