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Unified entropy thresholds

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Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens
2019-09-11 14:29:23 +02:00
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@ -134,7 +134,7 @@ baseline to compare against. In particular, vanilla SSD uses
a per-class confidence threshold of 0.01, an IOU threshold of 0.45 a per-class confidence threshold of 0.01, an IOU threshold of 0.45
for the non-maximum suppression, and a top k value of 200. for the non-maximum suppression, and a top k value of 200.
The effect of an entropy threshold is measured against this vanilla The effect of an entropy threshold is measured against this vanilla
SSD by applying entropy thresholds from 0.1 to 2.4 (limits taken from SSD by applying entropy thresholds from 0.1 to 2.4 inclusive (limits taken from
Miller et al.). Dropout sampling is compared to vanilla SSD, both Miller et al.). Dropout sampling is compared to vanilla SSD, both
with and without entropy thresholding. with and without entropy thresholding.
@ -655,7 +655,7 @@ on the result.
Both, vanilla SSD with entropy thresholding and Bayesian SSD with Both, vanilla SSD with entropy thresholding and Bayesian SSD with
entropy thresholding, were tested for entropy thresholds ranging entropy thresholding, were tested for entropy thresholds ranging
from 0.1 to 2.5 as specified in Miller et al.~\cite{Miller2018}. from 0.1 to 2.4 inclusive as specified in Miller et al.~\cite{Miller2018}.
\section{Results} \section{Results}