Changed title of section 2.2 to something more generic

Signed-off-by: Jim Martens <github@2martens.de>
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2019-09-19 13:59:35 +02:00
parent 59b09c45ff
commit 561bf6d65d

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@ -293,7 +293,7 @@ moments in neural networks which eliminates gradient variance, and
a hierarchical prior for parameters and an empirical Bayes procedure to select
prior variances.
\section{Background for Bayesian SSD}
\section{Background for Dropout Sampling}
\begin{table}
\centering
@ -484,7 +484,7 @@ layers in the SSD model. Entropy thresholding takes place before
the per-class confidence threshold is applied.
The Bayesian variant was not fine-tuned and operates with the same
weights that vanilla SSD uses as well.
weights that vanilla SSD uses as well.
\section{Decoding Pipelines}