Module Handbook

  • Dynamischer Default-Fachbereich geändert auf INF

Course INF-73-54-K-7

Advanced Topics in Computer Vision and Deep Learning (2V+1U, 4.0 LP)

Course Type

SWS Type Course Form CP (Effort) Presence-Time / Self-Study
- K Lecture with exercise classes (V/U) 4.0 CP 78 h
2 V Lecture 28 h
1 U Exercise class (in small groups) 14 h
(2V+1U) 4.0 CP 42 h 78 h

Basedata

SWS 2V+1U
CP, Effort 4.0 CP = 120 h
Position of the semester 1 Sem. in WiSe
Level [7] Master (Advanced)
Language [EN] English
Lecturers
Area of study [INF-KI] Intelligent Systems
Livecycle-State [NORM] Active

Possible Study achievement

  • Verification of study performance: proof of successful participation in the exercise classes (ungraded)
  • Details of the examination (type, duration, criteria) will be announced at the beginning of the course.

Contents

The lecture is based on the contents of [INF-73-51-M-5] "3D Computer Vision" and [INF-71-57-M-6] "Very Deep Learning - Recent Methods and Technologies". For this purpose, the functional principles of visual sensors, suitable representations for data, and issues of machine vision are linked with groundbreaking network architectures and modern concepts of deep machine learning. This results in a holistic understanding that qualifies students for demanding, current challenges in this subject area.
  • Visual sensors
  • Data representations
  • (Sensor) Fusion
  • Knowledge in learning procedures
  • Advanced building blocks in deep neural networks
  • Domain Adaptation and Transfer
  • Self-supervised learning
  • Reducing the model size of neural networks
  • Various advanced applications of machine vision

Literature

Will be announced during the course.

Requirements for attendance (informal)

Courses

Requirements for attendance (formal)

None

References to Course [INF-73-54-K-7]

Module Name Context
[INF-73-54-M-7] Advanced Topics in Computer Vision and Deep Learning P: Obligatory 2V+1U, 4.0 LP