Course Contents
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 and summarized in a report at the end of the lab. Concrete topics follow the current state of the art and change from term to term.
Preconditions
* Solid programming skills in Python, good knowledge of PyTorch
* Completion of "Computer Vision", "Computer Vision II", or another lecture topically related to Computer Vision; alternatively, other experience in Computer Vision
* Completion of a lecture in the area of Deep Learning
Expected Number of Participants
21 max
Further Grading Information
A mid-term presentation is mandatory.
Online Offerings
moodle
- Lehrende: Stefan Roth