2 citations · 3 across the 2 of their papers we have counts for
2 papers
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…
cs.LG2021★ 1 cited
Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC)
Jean Le'Clerc Arrastia, Nick Heilenkötter, Daniel Otero Baguer +6
Accurate and fast assessment of resection margins is an essential part of a dermatopathologist's clinical routine. In this work, we successfully develop a deep learning method to a…