Я пишу свою исследовательскую работу, и у меня есть сравнительная таблица, и она не простирается на следующую страницу. Вот код, я тоже новичок в использовании столбцов таблиц на обороте. Пожалуйста, дайте мне знать, что с ним не так. Я также прикрепил изображение для справки. Где вы можете видеть, таблица не простирается на следующую страницу.
\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]
решение1
Я предлагаю следующую переделку, основанную на том, xltabular
чтобы убедиться, что таблица имеет такую же ширину, как и доступное пространство, и разрешить разрывы страниц в середине таблицы. Кроме того, я использовал pdflscape
для того, чтобы повернуть страницу в альбомную ориентацию и изменил ширину столбцов, чтобы минимизировать количество ненужного пустого пространства:
\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}