Deep Convolutional Symmetric Encoder—Decoder Neural Networks to Predict Students’ Visual Attention

Deep Convolutional Symmetric Encoder—Decoder Neural Networks to Predict Students’ Visual Attention

Prediction of visual attention is a new and challenging subject, and to the best of our knowledge, there are not many pieces of research devoted to the anticipation of students’ cognition when solving tests. The aim of this paper is to propose, implement, and evaluate a machine learning method that...

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Bibliographic Details
Main Authors: Tomasz Hachaj, Anna Stolińska, Magdalena Andrzejewska, Piotr Czerski
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Symmetry
Subjects:
cognition
deep learning
convolutional network
encoder–decoder
visual attention
saliency map
Online Access:https://www.mdpi.com/2073-8994/13/12/2246

Internet

https://www.mdpi.com/2073-8994/13/12/2246

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