From e7823fc5b3f47b52af35d0a93eb5d0f570c37a0e Mon Sep 17 00:00:00 2001 From: Jim Martens Date: Tue, 5 Jun 2018 12:27:32 +0200 Subject: [PATCH] [Masterproj] Added abstract to seminar paper Signed-off-by: Jim Martens --- masterproj/seminar_report.tex | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/masterproj/seminar_report.tex b/masterproj/seminar_report.tex index 44e3a52..a19628c 100644 --- a/masterproj/seminar_report.tex +++ b/masterproj/seminar_report.tex @@ -85,7 +85,15 @@ maxnames=2 \maketitle \section*{Abstract} -The short abstract (100-150 words) is intended to give the reader an overview of the paper and your general opinion about the paper. +Deep Sliding Shapes is an approach that uses 3D data in a regional proposal +network to limit the search space before both 3D and 2D are used in an object +recognition network to find the actual objects. In the end it produces 3D +bounding boxes and outperforms 3D selective search and other state-of-the-art +solutions. + +The paper is presenting the approach in an understandable manner. But the +reproducibility of Deep Sliding Shapes is suboptimal as key information for +such an endeavour is missing from the paper. % Lists: @@ -388,7 +396,7 @@ Furthermore the motivations for the used data sets NYUv2 and SUN RGB-D are not quite clear. Which data set is used for what purpose and why? The text mentions in one sentence that the amodal bounding boxes are obtained from SUN RGB-D without further explanation. It would have been advantageous -if the actual process of this "obtaining" were explained. +if the actual process of this "obtaining" was explained. % subsection negitive (end)