Do Humans and Convolutional Neural Networks Attend to Similar Areas during Scene Classification: Effects of Task and Image Type

Do Humans and Convolutional Neural Networks Attend to Similar Areas during Scene Classification: Effects of Task and Image Type

Deep neural networks are powerful image classifiers but do they attend to similar image areas as humans? While previous studies have investigated how this similarity is shaped by technological factors, little is known about the role of factors that affect human attention. Therefore, we investigated...

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Bibliographic Details
Main Authors: Romy Müller, Marcel Dürschmidt, Julian Ullrich, Carsten Knoll, Sascha Weber, Steffen Seitz
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
convolutional neural networks (CNN)
explainable artificial intelligence (XAI)
attention maps
eye movements
scene viewing
image classification
Online Access:https://www.mdpi.com/2076-3417/14/6/2648

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