2martens/masterthesis
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Changed to 2D data and specified SSD as detection network

Jim Martens
2019-02-04 13:55:11 +01:00
parent e978c9a708
commit af4841523e
1 changed files with 4 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
Home.md

@ -1,8 +1,8 @@
General Idea of the Thesis:
1. Realistic scene with objects of YCB Video data set (self recorded or from data set).
2. Retrieve point cloud from scene.
2. Retrieve 2D data from scene.
3. Segment point cloud into separate areas for objects.
4. a) Feed neural network with 3D data for object. Classify object and calculate classification loss (cross entropy loss).
b) Feed autoencoder with 3D data for object. Calculate encoding loss.
5. In testing phase the encoding loss tells us if an object is unknown.
4. a) Feed SSD with 2D data for object. Classify object and calculate classification loss (cross entropy loss).
b) Feed autoencoder with 2D data for object. Calculate encoding/decoding loss.
5. In testing phase the encoding/decoding loss tells us if an object is unknown.