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Updated no NMS results

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Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens
2019-09-12 19:43:13 +02:00
parent da9be15762
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@ -682,7 +682,7 @@ 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
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 & 0.209 & 2709 & 0.300 & 0.161 \\
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 \\ 0.9 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 \\ 0.5 keep ratio - 0.2 conf - NMS \; 10 & 0.325 & 2759 & 0.342 & 0.311 \\
@ -692,7 +692,7 @@ with many detections.
\end{tabular} \end{tabular}
\caption{Rounded results for micro averaging. SSD with Entropy test and Bayesian SSD are represented with \caption{Rounded 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 1.0,
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 Bayesian SSD with dropout enabled and 0.9 keep ratio performed
@ -773,8 +773,8 @@ reported figures, such as the ones in Miller et al.~\cite{Miller2018}
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
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 & 0.226 & \textbf{809} & 0.229 & 0.224 \\
no dropout - 0.2 conf - NMS \; 10 & 0.363 & \textbf{1057} & 0.321 & 0.420 \\ no dropout - 0.2 conf - NMS \; 10 & 0.363 & 1057 & 0.321 & 0.420 \\
0.9 keep ratio - 0.2 conf - NMS \; 10 & 0.354 & 1150 & 0.321 & 0.396 \\ 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 \\ 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
@ -784,7 +784,7 @@ reported figures, such as the ones in Miller et al.~\cite{Miller2018}
\end{tabular} \end{tabular}
\caption{Rounded results for macro averaging. SSD with Entropy test and Bayesian SSD are represented with \caption{Rounded 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 1.5,
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. Bayesian SSD with dropout enabled and 0.9 keep ratio performed 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 1.7 as entropy threshold, the run with 0.5 keep ratio performed