Deep learning-based image deconstruction method with maintained saliency

Visual properties that primarily attract bottom-up attention are collectively referred to as saliency. In this study, to understand the neural activity involved in top-down and bottom-up visual attention, we aim to prepare pairs of natural and unnatural images with common saliency. For this purpose,...

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Veröffentlicht in:	Neural networks 2022-11, Vol.155, p.224-241
Hauptverfasser:	Fujimoto, Keisuke, Hayashi, Kojiro, Katayama, Risa, Lee, Sehyung, Liang, Zhen, Yoshida, Wako, Ishii, Shin
Format:	Artikel
Sprache:	eng
Schlagworte:	Attention Deep Learning Functional magnetic resonance imaging Humans Image transformation Magnetic Resonance Imaging Neural Networks, Computer Saliency map Variational autoencoder
Online-Zugang:	Volltext
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