179 citations · 292 across the 5 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
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.CV2023★ 2 cited
Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time
Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer +2
In this work, we propose a fast and accurate method to reconstruct activations of classification and semantic segmentation networks by stitching them with a GAN generator utilizing…