Explainable Artificial Intelligence for Computer Vision

SoSe 2024

In recent years, deep learning has achieved remarkable advancements across various domains of computer vision. However, the increasing complexity of deep neural networks has led to a situation where users cannot understand their functioning, making their application in safety-critical fields like autonomous driving and medical image analysis challening. This lecture addresses the important topic of explainable artificial intelligence, which focuses on understanding the inner workings of modern vision models.