12 citations · 25 across the 3 of their papers we have counts for
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cs.HC2023★ 12 cited
Interpretability is in the eye of the beholder: Human versus artificial classification of image segments generated by humans versus XAI
Romy Müller, Marius Thoß, Julian Ullrich +2
The evaluation of explainable artificial intelligence is challenging, because automated and human-centred metrics of explanation quality may diverge. To clarify their relationship,…
cs.CV2023★ 8 cited
Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type
Romy Müller, Marcel Dürschmidt, Julian Ullrich +3
Deep Learning models like Convolutional Neural Networks (CNN) are powerful image classifiers, but what factors determine whether they attend to similar image areas as humans do? Wh…