SALYPATH: A DEEP-BASED ARCHITECTURE FOR VISUAL ATTENTION PREDICTION

Human vision is naturally more attracted by some regions within their field of view than others. This intrinsic selectivity mechanism, so-called visual attention, is influenced by both high- and low-level factors; such as the global environment (illumination, background texture, etc.), stimulus characteristics (color, intensity, orientation, etc.), and some prior visual information.

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Cite this as

Mohamed A. KERKOURI, Marouane TLIBA, Aladine CHETOUANI, Rachid HARBA (2024). Dataset: SALYPATH: A DEEP-BASED ARCHITECTURE FOR VISUAL ATTENTION PREDICTION. https://doi.org/10.57702/amx6uipc

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Author Mohamed A. KERKOURI
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Marouane TLIBA
Aladine CHETOUANI
Rachid HARBA
Homepage https://github.com/kmamine/