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Improved table formatting

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Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens
2019-09-09 12:12:09 +02:00
parent 0ac3176626
commit d165299df8
1 changed files with 4 additions and 4 deletions
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@ -684,7 +684,7 @@ with many detections.
SSD with Entropy test - 0.01 conf & 0.255 & 3168 & 0.214 & 0.318 \\ SSD with Entropy test - 0.01 conf & 0.255 & 3168 & 0.214 & 0.318 \\
% entropy thresh: 2.4 for vanilla SSD is best % entropy thresh: 2.4 for vanilla SSD is best
\hline \hline
Bayesian SSD - no DO - 0.2 conf - no NMS \; 10 & 0.006 & 164 & 0.004 & 0.005 \\ Bay. SSD - no DO - 0.2 conf - no NMS \; 10 & 0.006 & 164 & 0.004 & 0.005 \\
no dropout - 0.2 conf - NMS \; 10 & 0.371 & \textbf{2335} & 0.365 & \textbf{0.378} \\ no dropout - 0.2 conf - NMS \; 10 & 0.371 & \textbf{2335} & 0.365 & \textbf{0.378} \\
% entropy thresh: 1.2 for Bayesian - 2 is best, 0.4 for 3 % entropy thresh: 1.2 for Bayesian - 2 is best, 0.4 for 3
% 0.5 for Bayesian - 6, 1.4 for 7 % 0.5 for Bayesian - 6, 1.4 for 7
@ -692,7 +692,7 @@ with many detections.
\end{tabular} \end{tabular}
\caption{Results for micro averaging. SSD with Entropy test and Bayesian SSD are represented with \caption{Results for micro averaging. SSD with Entropy test and Bayesian SSD are represented with
their best performing entropy threshold. Vanilla SSD with Entropy test performed best with an their best performing entropy threshold. Vanilla SSD with Entropy test performed best with an
entropy threshold of 2.4, Bayesian SSD with no non-maximum suppression performed best for 0.5, entropy threshold of 2.4, Bayesian SSD without non-maximum suppression performed best for 0.5,
and Bayesian SSD with non-maximum suppression performed best for 1.4 as entropy and Bayesian SSD with non-maximum suppression performed best for 1.4 as entropy
threshold.} threshold.}
\label{tab:results-micro} \label{tab:results-micro}
@ -730,7 +730,7 @@ marked bold, although it is the lowest number.
SSD with Entropy test - 0.01 conf & 0.370 & 1373 & 0.329 & \textbf{0.425} \\ SSD with Entropy test - 0.01 conf & 0.370 & 1373 & 0.329 & \textbf{0.425} \\
% entropy thresh: 1.7 for vanilla SSD is best % entropy thresh: 1.7 for vanilla SSD is best
\hline \hline
Bayesian SSD - no DO - 0.2 conf - no NMS \; 10 & 0.006 & 1453 & 0.009 & 0.005 \\ Bay. SSD - no DO - 0.2 conf - no NMS \; 10 & 0.006 & 1453 & 0.009 & 0.005 \\
no dropout - 0.2 conf - NMS \; 10 & 0.363 & \textbf{1057} & 0.321 & 0.420 \\ no dropout - 0.2 conf - NMS \; 10 & 0.363 & \textbf{1057} & 0.321 & 0.420 \\
% entropy thresh: 1.2 for Bayesian - 2 is best, 0.4 for 3 % entropy thresh: 1.2 for Bayesian - 2 is best, 0.4 for 3
% entropy thresh: 0.7 for Bayesian - 6 is best, 1.5 for 7 % entropy thresh: 0.7 for Bayesian - 6 is best, 1.5 for 7
@ -738,7 +738,7 @@ marked bold, although it is the lowest number.
\end{tabular} \end{tabular}
\caption{Results for macro averaging. SSD with Entropy test and Bayesian SSD are represented with \caption{Results for macro averaging. SSD with Entropy test and Bayesian SSD are represented with
their best performing entropy threshold. Vanilla SSD with Entropy test performed best with an their best performing entropy threshold. Vanilla SSD with Entropy test performed best with an
entropy threshold of 1.7, Bayesian SSD with no non-maximum suppression performed best for 0.7, entropy threshold of 1.7, Bayesian SSD without non-maximum suppression performed best for 0.7,
and Bayesian SSD with non-maximum suppression performed best for 1.5 as entropy and Bayesian SSD with non-maximum suppression performed best for 1.5 as entropy
threshold.} threshold.}
\label{tab:results-macro} \label{tab:results-macro}