diff --git a/body.tex b/body.tex
index d02667e..d7dece4 100644
--- a/body.tex
+++ b/body.tex
@@ -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}