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Updated tables with dropout results

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Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens
2019-09-10 11:26:38 +02:00
parent 157068a442
commit 0e7f735517
1 changed files with 13 additions and 3 deletions
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@ -684,15 +684,20 @@ with many detections.
\hline \hline
Bay. 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} \\
0.9 keep ratio - 0.2 conf - NMS \; 10 & 0.360 & 2595 & 0.367 & 0.353 \\
0.5 keep ratio - 0.2 conf - NMS \; 10 & 0.325 & 2759 & 0.342 & 0.311 \\
% 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, 1.4 for 8, 1.3 for 9
\hline \hline
\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 without 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.
Bayesian SSD with dropout enabled and 0.9 keep ratio performed
best for 1.4 as entropy threshold, the run with 0.5 keep ratio performed
best for 1.3 as threshold.}
\label{tab:results-micro} \label{tab:results-micro}
\end{table} \end{table}
@ -730,15 +735,20 @@ marked bold, although it is the lowest number.
\hline \hline
Bay. 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 \\
0.9 keep ratio - 0.2 conf - NMS \; 10 & 0.354 & 1150 & 0.321 & 0.396 \\
0.5 keep ratio - 0.2 conf - NMS \; 10 & 0.322 & 1264 & 0.307 & 0.340 \\
% 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
% 1.7 for 8, 2.0 for 9
\hline \hline
\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 without 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. Bayesian SSD with dropout enabled and 0.9 keep ratio performed
best for 1.7 as entropy threshold, the run with 0.5 keep ratio performed
best for 2.0 as threshold.}
\label{tab:results-macro} \label{tab:results-macro}
\end{table} \end{table}