Papers citing 'Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type'

Title
RailGoerl24: Görlitz Rail Test Center CV Dataset 2024 Rustam Tagiew Ilkay Wunderlich Mark Sastuba Kilian Göller Steffen Seitz 179 6 0 31 Mar 2025
Extracting Human Attention through Crowdsourced Patch Labeling Minsuk Chang Seokhyeon Park Hyeon Jeon Aeri Cho S. Lee Jinwook Seo 167 0 0 22 Mar 2024
Unveiling the Human-like Similarities of Automatic Facial Expression Recognition: An Empirical Exploration through Explainable AI F. X. Gaya-Morey S. Ramis-Guarinos Cristina Manresa-Yee Jose Maria Buades Rubio CVBM 172 7 0 22 Jan 2024
Interpretability is in the eye of the beholder: Human versus artificial classification of image segments generated by humans versus XAIInternational journal of human computer interactions (IJHCI), 2023 Romy Müller Marius Thoss Julian Ullrich Steffen Seitz Carsten Knoll 197 4 0 21 Nov 2023
The benefits and costs of explainable artificial intelligence in visual quality control: Evidence from fault detection performance and eye movements Romy Müller David F. Reindel Yannick D. Stadtfeld 145 4 0 02 Oct 2023
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 2.1K 19,394 0 16 Feb 2016