Salypath: A Deep-Based Architecture For Visual Attention Prediction

Mohamed Kerkouri; Marouane Tliba; Aladine Chetouani; Rachid Harba

doi:10.1109/ICIP42928.2021.9506295

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Salypath: A Deep-Based Architecture For Visual Attention Prediction

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Mohamed Kerkouri

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Marouane Tliba

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Aladine Chetouani

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Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique

Rachid Harba

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Computer Science [cs] Signal and Image Processing

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https://hal-univ-orleans.archives-ouvertes.fr/hal-03553567

Submitted on : Wednesday, February 2, 2022-8:20:50 PM

Last modification on : Thursday, February 3, 2022-3:28:09 AM

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hal-03553567 , version 1 (02-02-2022)

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HAL Id : hal-03553567 , version 1
DOI : 10.1109/ICIP42928.2021.9506295

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Mohamed Kerkouri, Marouane Tliba, Aladine Chetouani, Rachid Harba. Salypath: A Deep-Based Architecture For Visual Attention Prediction. 2021 IEEE International Conference on Image Processing (ICIP), Sep 2021, Anchorage, United States. pp.1464-1468, ⟨10.1109/ICIP42928.2021.9506295⟩. ⟨hal-03553567⟩

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Salypath: A Deep-Based Architecture For Visual Attention Prediction

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