Lehrinhalte
Visual cognition, grouping, shape descriptors, computer vision paradigm, knowledge-based image analysis, models of the real world, formal representation of the models, models in image scale space, modelling of uncertainty (softcomputing), invariant pattern recognition, Bayesian decision theorem, object detection and categorization, introduction to machine learning, deep learning, Convolutional Neural Networks, video understanding, un- and self-supervised learning, introduction to and practical experience with deep learning frameworks
