Meine Tabelle kann in Overleaf nicht erweitert werden

Meine Tabelle kann in Overleaf nicht erweitert werden

Bildbeschreibung hier eingeben

Ich schreibe gerade meine Forschungsarbeit und habe eine Vergleichstabelle, die sich nicht bis zur nächsten Seite erstreckt. Hier ist der Code. Ich bin auch sehr neu im Umgang mit umseitigen Tabellenspalten. Bitte lassen Sie mich wissen, was daran falsch ist. Ich habe auch ein Bild als Referenz angehängt. Dort können Sie sehen, dass die Tabelle sich nicht bis zur nächsten Seite erstreckt.

\documentclass{article}

\begin{document}

\begin{table}[htp]
  \centering
  \caption{Related works Comparison table}
  \label{my-label}
{\small %
    \begin{tabular}{p{.18\textwidth}p{.22\textwidth}p{.2\textwidth}p{.2\textwidth}p{.2\textwidth}}
\hline 
\thead Title & Goal & Idea & Event \&\ Others & Technique and \&\ Model \\
\hline 
Soccer Event Detection  & Automatic systems for detection event in video &  Detect Object from single video frame with a confidence scores and followed by event detection. Instead of resampling pixels and features and classify those proposals, which is computationally expensive. A method is used to combine the region proposal and classification into one. & Ball possession event and kicking the ball. &    Event detection and Object Detection. \\

\hline
A Discriminative CNN Video Representation for Event Detection & The idea is to effectively leverage deep Convolutional Neural Networks to advance event detection, where only frame level static descriptors can be extracted by the existing CNN toolkits. & Performance can be significantly improved by taking advantage of an appropriate encoding method. Second, we propose using a set of latent concept descriptors as the frame descriptor, which enriches visual information while keeping it computationally affordable. &   Event detection & VLAD Encoding, Fisher Vector encoding, CNN Latent Concept descriptors. \\
\hline

    \end{tabular}%
}%
\end{table}
\end{document}[![enter image description here][1]][1]

Antwort1

Ich schlage die folgende Neugestaltung vor, um xltabularsicherzustellen, dass die Tabelle so breit ist wie der verfügbare Platz und dass Seitenumbrüche in der Tabellenmitte möglich sind. Darüber hinaus habe ich pdflscapedie Seite ins Querformat gedreht und die Spaltenbreiten geändert, um unnötigen Leerraum zu minimieren:

Bildbeschreibung hier eingeben

\documentclass{article}

\usepackage{booktabs}
\usepackage{xltabular}
\usepackage{pdflscape}
\begin{document}

\begin{landscape}
\begin{xltabular}{\linewidth}{>{\raggedright\arraybackslash}p{.2\textwidth}
                              p{.35\textwidth}
                              X
                              >{\raggedright\arraybackslash}p{.15\textwidth}
                              >{\raggedright\arraybackslash}p{.175\textwidth}}
\caption{Related works Comparison table}
\label{my-label}\\
\toprule 
Title & Goal & Idea & Event \&\ Others & Technique \&\ Model \\
\midrule 
\endfirsthead
\caption{Related works Comparison table - continued from previous page}\\
\toprule 
Title & Goal & Idea & Event \&\ Others & Technique \&\ Model \\
\midrule 
\endhead
\bottomrule
\endlastfoot
Soccer Event Detection  & Automatic systems for detection event in video &  Detect Object from single video frame with a confidence scores and followed by event detection. Instead of resampling pixels and features and classify those proposals, which is computationally expensive. A method is used to combine the region proposal and classification into one. & Ball possession event and kicking the ball. &    Event detection and Object Detection. \\

\midrule
A Discriminative CNN Video Representation for Event Detection & The idea is to effectively leverage deep Convolutional Neural Networks to advance event detection, where only frame level static descriptors can be extracted by the existing CNN toolkits. & Performance can be significantly improved by taking advantage of an appropriate encoding method. Second, we propose using a set of latent concept descriptors as the frame descriptor, which enriches visual information while keeping it computationally affordable. &   Event detection & VLAD Encoding, Fisher Vector encoding, CNN Latent Concept descriptors. \\

\end{xltabular}%
\end{landscape}
\end{document}

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