Lehrinhalte
In this project lab groups of students will work on selected topics in deep learning (deep neural networks) for problems in computer vision. This includes the practical implementation with modern deep learning frameworks. Results will be presented in a talk at the end of the lab. Concrete topics follow the current state of the art and change from term to term.
Voraussetzungen
* Solid programming skills in C/C or Python or Lua
* Prior or concurrent registration for "Computer Vision I"
Erwartete Teilnehmerzahl
Max. 18
Further Grading Information
Attendind the first meeting is mandatory.
In this project lab groups of students will work on selected topics in deep learning (deep neural networks) for problems in computer vision. This includes the practical implementation with modern deep learning frameworks. Results will be presented in a talk at the end of the lab. Concrete topics follow the current state of the art and change from term to term.
Voraussetzungen
* Solid programming skills in C/C or Python or Lua
* Prior or concurrent registration for "Computer Vision I"
Erwartete Teilnehmerzahl
Max. 18
Further Grading Information
Attendind the first meeting is mandatory.
- Lehrende: Shweta Mahajan
- Lehrende: Stefan Roth
- Lehrende: Simone Schaub-Meyer
- Lehrende: Jan-Martin Steitz
- Lehrende: Gelöschter User (TU-ID gelöscht)
Semester: WT 2020/21