2 papers
cs.CV2025
Concept Based Explanations and Class Contrasting
Rudolf Herdt, Daniel Otero Baguer
Explaining deep neural networks is challenging, due to their large size and non-linearity. In this paper, we introduce a concept-based explanation method, in order to explain the p…
cs.CV2024
Smooth Deep Saliency
Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer +1
In this work, we investigate methods to reduce the noise in deep saliency maps coming from convolutional downsampling. Those methods make the investigated models more interpretable…