Updated no NMS results
Signed-off-by: Jim Martens <github@2martens.de>
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body.tex
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@ -682,7 +682,7 @@ with many detections.
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SSD with Entropy test - 0.01 conf & 0.255 & 3168 & 0.214 & 0.318 \\
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% entropy thresh: 2.4 for vanilla SSD is best
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\hline
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Bay. SSD - no DO - 0.2 conf - no NMS \; 10 & 0.006 & 164 & 0.004 & 0.005 \\
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Bay. SSD - no DO - 0.2 conf - no NMS \; 10 & 0.209 & 2709 & 0.300 & 0.161 \\
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no dropout - 0.2 conf - NMS \; 10 & 0.371 & \textbf{2335} & 0.365 & \textbf{0.378} \\
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0.9 keep ratio - 0.2 conf - NMS \; 10 & 0.360 & 2595 & 0.367 & 0.353 \\
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0.5 keep ratio - 0.2 conf - NMS \; 10 & 0.325 & 2759 & 0.342 & 0.311 \\
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@ -692,7 +692,7 @@ with many detections.
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\end{tabular}
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\caption{Rounded results for micro averaging. SSD with Entropy test and Bayesian SSD are represented with
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their best performing entropy threshold. Vanilla SSD with Entropy test performed best with an
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entropy threshold of 2.4, Bayesian SSD without non-maximum suppression performed best for 0.5,
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entropy threshold of 2.4, Bayesian SSD without non-maximum suppression performed best for 1.0,
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and Bayesian SSD with non-maximum suppression performed best for 1.4 as entropy
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threshold.
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Bayesian SSD with dropout enabled and 0.9 keep ratio performed
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@ -773,8 +773,8 @@ reported figures, such as the ones in Miller et al.~\cite{Miller2018}
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SSD with Entropy test - 0.01 conf & 0.370 & 1373 & 0.329 & \textbf{0.425} \\
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% entropy thresh: 1.7 for vanilla SSD is best
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\hline
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Bay. SSD - no DO - 0.2 conf - no NMS \; 10 & 0.006 & 1453 & 0.009 & 0.005 \\
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no dropout - 0.2 conf - NMS \; 10 & 0.363 & \textbf{1057} & 0.321 & 0.420 \\
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Bay. SSD - no DO - 0.2 conf - no NMS \; 10 & 0.226 & \textbf{809} & 0.229 & 0.224 \\
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no dropout - 0.2 conf - NMS \; 10 & 0.363 & 1057 & 0.321 & 0.420 \\
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0.9 keep ratio - 0.2 conf - NMS \; 10 & 0.354 & 1150 & 0.321 & 0.396 \\
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0.5 keep ratio - 0.2 conf - NMS \; 10 & 0.322 & 1264 & 0.307 & 0.340 \\
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% entropy thresh: 1.2 for Bayesian - 2 is best, 0.4 for 3
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@ -784,7 +784,7 @@ reported figures, such as the ones in Miller et al.~\cite{Miller2018}
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\end{tabular}
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\caption{Rounded results for macro averaging. SSD with Entropy test and Bayesian SSD are represented with
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their best performing entropy threshold. Vanilla SSD with Entropy test performed best with an
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entropy threshold of 1.7, Bayesian SSD without non-maximum suppression performed best for 0.7,
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entropy threshold of 1.7, Bayesian SSD without non-maximum suppression performed best for 1.5,
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and Bayesian SSD with non-maximum suppression performed best for 1.5 as entropy
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threshold. Bayesian SSD with dropout enabled and 0.9 keep ratio performed
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best for 1.7 as entropy threshold, the run with 0.5 keep ratio performed
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