Fitting table into page while not ruining the caption

Question

I have to fit this table into a page. Using adjustcode failed since it made the caption stuck onto first cell of the table instead of spanning on top of table.

The paper is double column so I'm using \begin{table*} instead of \begin{table} to fill the table into 2 columns.

\processtable serves as a title for the table.

\botrule, \midrule and \toprule are linedrawing commands.

Currently output looks like this: https://i.stack.imgur.com/TJ4ln.jpg

\documentclass{cta-author}
.
.
.
\begin{table*}[ht]
\processtable{Some of the works with their contributions to the field and their recognition rates\label{tbl:0}}
{\begin{tabular*}{20pc}{@{\extracolsep{\fill}}lll@{}}\toprule
Method    & Contribution    & Recognition Rate \\ 
\midrule
Lopes et. al.  & Generating synthetic samples to broaden the database for CNN learning process & 98.92  \\ 
BDBN & A set of weak classifiers that each is responsible for classifying one expression.  & 96.70  \\ 
AUDP  & Decomposing a facial expression into Micro-Action-Patterns and grouping them for higher level representation & 93.70  \\
Fan \& Tjahjadi  & spatial–temporal framework based on histogram of gradients and optical flow & 83.70  \\
Zhong et. al.  & two-stage multi-task sparse learning (MTSL) framework to efficiently locate the discriminative patches that discloses the expressions  & 93.30  \\
Liu et. al.  & manifold modeling of videos based on a proposed mid-level representation, i.e. expressionlet & 94.19  \\
Gu et. al. & A radial encoding strategy for efficiently downsampling Gabor filter outputs and a new classifier combination method by extracting information from local classifiers. & 91.51  \\
Proposed & asdsa & 99 \\
\botrule
\end{tabular*}}{}
\end{table*}

Answer 1

Supposing you're using the documentclass indicated by David in his comment, you can solve your problem with a tabularx:

\documentclass{cta-author}
\usepackage{tabularx}

\begin{document}
\begin{table*}[ht]
\processtable{Some of the works with their contributions to the field and their recognition rates\label{tbl:0}}
{\begin{tabularx}{\textwidth}{@{}lXl@{}}\toprule
Method    & Contribution    & Recognition Rate \\ 
\midrule
Lopes et. al.  & Generating synthetic samples to broaden the database for CNN learning process & 98.92  \\ 
BDBN & A set of weak classifiers that each is responsible for classifying one expression.  & 96.70  \\ 
AUDP  & Decomposing a facial expression into Micro-Action-Patterns and grouping them for higher level representation & 93.70  \\
Fan \& Tjahjadi  & spatial–temporal framework based on histogram of gradients and optical flow & 83.70  \\
Zhong et. al.  & two-stage multi-task sparse learning (MTSL) framework to efficiently locate the discriminative patches that discloses the expressions  & 93.30  \\
Liu et. al.  & manifold modeling of videos based on a proposed mid-level representation, i.e. expressionlet & 94.19  \\
Gu et. al. & A radial encoding strategy for efficiently downsampling Gabor filter outputs and a new classifier combination method by extracting information from local classifiers. & 91.51  \\
Proposed & asdsa & 99 \\
\botrule
\end{tabularx}}{}
\end{table*}
\end{document}