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Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type
25 July 2023
Romy Müller
Marcel Duerschmidt
Julian Ullrich
Carsten Knoll
Sascha Weber
Steffen Seitz
HAI
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Papers citing
"Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type"
7 / 7 papers shown
Title
RailGoerl24: Görlitz Rail Test Center CV Dataset 2024
Rustam Tagiew
Ilkay Wunderlich
Mark Sastuba
Steffen Seitz
38
1
0
31 Mar 2025
Extracting Human Attention through Crowdsourced Patch Labeling
Minsuk Chang
Seokhyeon Park
Hyeon Jeon
Aeri Cho
S. Lee
Jinwook Seo
36
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
31
3
0
22 Jan 2024
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
Steffen Seitz
Carsten Knoll
24
3
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
14
4
0
02 Oct 2023
Dissonance Between Human and Machine Understanding
Zijian Zhang
Jaspreet Singh
U. Gadiraju
Avishek Anand
51
74
0
18 Jan 2021
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
1