Changed title of section 2.2 to something more generic
Signed-off-by: Jim Martens <github@2martens.de>
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body.tex
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body.tex
@ -293,7 +293,7 @@ moments in neural networks which eliminates gradient variance, and
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a hierarchical prior for parameters and an empirical Bayes procedure to select
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prior variances.
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\section{Background for Bayesian SSD}
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\section{Background for Dropout Sampling}
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\begin{table}
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\centering
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@ -484,7 +484,7 @@ layers in the SSD model. Entropy thresholding takes place before
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the per-class confidence threshold is applied.
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The Bayesian variant was not fine-tuned and operates with the same
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weights that vanilla SSD uses as well.
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weights that vanilla SSD uses as well.
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\section{Decoding Pipelines}
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