170 citations · 231 across the 3 of their papers we have counts for
3 papers
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations
Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand +2
Applying traditional post-hoc attribution methods to segmentation or object detection predictors offers only limited insights, as the obtained feature attribution maps at input lev…
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation
Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun +4
The field of eXplainable Artificial Intelligence (XAI) aims to bring transparency to today's powerful but opaque deep learning models. While local XAI methods explain individual pr…
Focus Group on Artificial Intelligence for Health
Marcel Salathé, Thomas Wiegand, Markus Wenzel
Artificial Intelligence (AI) - the phenomenon of machines being able to solve problems that require human intelligence - has in the past decade seen an enormous rise of interest du…