3 citations · 11 across the 13 of their papers we have counts for
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cs.CV2023★ 1 cited
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
The field of explainable artificial intelligence (XAI) aims to uncover the inner workings of complex deep neural models. While being crucial for safety-critical domains, XAI inhere…
cs.CV2023★ 1 cited
Content-Adaptive Downsampling in Convolutional Neural Networks
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Many convolutional neural networks (CNNs) rely on progressive downsampling of their feature maps to increase the network's receptive field and decrease computational cost. However,…