mirror of
https://github.com/tu-darmstadt-informatik/bsc-thesis.git
synced 2026-01-20 20:11:16 +00:00
Update introduction.tex
This commit is contained in:
parent
a1fc82587a
commit
184b8e2efb
@ -51,7 +51,7 @@ two concatenated images as input, similar to FlowNetS \cite{FlowNet}.
|
||||
This results in a fully integrated end-to-end network architecture for segmenting pixels into instances
|
||||
and estimating the motion of all detected instances without any limitations
|
||||
as to the number or variety of object instances.
|
||||
Figure \ref{} gives an overview of our network.
|
||||
Figure \ref{} illustrates our concept.
|
||||
|
||||
Eventually, we want to extend our method to include depth prediction,
|
||||
yielding the first end-to-end deep network to perform 3D scene flow estimation
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user