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  "author": "Mohamed A. KERKOURI",
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  "author": "Mohamed A. KERKOURI",
            
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  "doi": "10.57702/amx6uipc",
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  "doi": "10.57702/amx6uipc",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Marouane TLIBA",
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      "extra_author": "Marouane TLIBA",
            
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "Aladine CHETOUANI",
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      "extra_author": "Aladine CHETOUANI",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Rachid HARBA",
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      "extra_author": "Rachid HARBA",
            
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      "orcid": ""
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      "orcid": ""
            
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      "name": "scanpath-prediction",
            
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      "title": "Scanpath Prediction"
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      "title": "Scanpath Prediction"
            
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    },
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Visual Attention",
            
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      "name": "visual-attention",
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      "name": "visual-attention",
            
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      "title": "Visual Attention"
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      "title": "Visual Attention"
            
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  "name": 
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  "name": 
            
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"salypath--a-deep-based-architecture-for-visual-attention-prediction",
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"salypath--a-deep-based-architecture-for-visual-attention-prediction",
            
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  "notes": "Human vision is naturally more attracted by some regions 
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  "notes": "Human vision is naturally more attracted by some regions 
            
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within their field of view than others. This intrinsic selectivity 
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within their field of view than others. This intrinsic selectivity 
            
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mechanism, so-called visual attention, is in\ufb02uenced by both high- 
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mechanism, so-called visual attention, is in\ufb02uenced by both high- 
            
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and low-level factors; such as the global environment (illumination, 
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and low-level factors; such as the global environment (illumination, 
            
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background texture, etc.), stimulus characteristics (color, intensity, 
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background texture, etc.), stimulus characteristics (color, intensity, 
            
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orientation, etc.), and some prior visual information.",
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orientation, etc.), and some prior visual information.",
            
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      "display_name": "scanpath",
            
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      "id": "daeedfad-28a4-477b-b95b-4cfa815e51d9",
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      "id": "daeedfad-28a4-477b-b95b-4cfa815e51d9",
            
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      "name": "scanpath",
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      "name": "scanpath",
            
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      "state": "active",
            
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      "display_name": "visual attention",
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      "display_name": "visual attention",
            
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      "id": "bd5f6475-4fb3-4c8f-8a3b-c51bc58bc8b4",
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      "id": "bd5f6475-4fb3-4c8f-8a3b-c51bc58bc8b4",
            
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      "name": "visual attention",
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      "name": "visual attention",
            
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "SALYPATH: A DEEP-BASED ARCHITECTURE FOR VISUAL ATTENTION 
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  "title": "SALYPATH: A DEEP-BASED ARCHITECTURE FOR VISUAL ATTENTION 
            
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PREDICTION",
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PREDICTION",
            
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  "type": "dataset",
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  "version": ""
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  "version": ""
            
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}
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}