diff --git a/experiments.tex b/experiments.tex
index 27497fb..c0e6c70 100644
--- a/experiments.tex
+++ b/experiments.tex
@@ -5,7 +5,7 @@ computations. To make our code easy to extend and flexible, we build on
 the TensorFlow Object detection API \cite{TensorFlowObjectDetection}, which provides a Faster R-CNN baseline
 implementation.
 On top of this, we implemented Mask R-CNN and the Feature Pyramid Network (FPN)
-as well all extensions for motion estimation and related evaluations
+as well as extensions for motion estimation and related evaluations
 and postprocessings. In addition, we generated all ground truth for
 Motion R-CNN in the form of TFRecords from the raw Virtual KITTI
 data to enable fast loading during training.