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  "access_rights": "",
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  "author": "M. Risqi",
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  "author_email": "",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2403.10971",
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  "defined_in": "https://doi.org/10.48550/arXiv.2403.10971",
            
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  "doi": "10.57702/pflr6lo1",
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  "doi": "10.57702/pflr6lo1",
            
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  "doi_date_published": "2024-11-25",
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  "doi_date_published": "2024-11-25",
            
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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": "U. Saputra",
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      "extra_author": "U. Saputra",
            
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    },
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    {
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      "extra_author": "A. Markham",
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    },
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    {
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      "extra_author": "N. Trigoni",
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      "title": "Depth Estimation"
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      "title": "Depth Estimation"
            
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      "name": "image-segmentation",
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      "name": "image-segmentation",
            
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      "title": "Image Segmentation"
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      "title": "Image Segmentation"
            
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      "description": "",
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      "description": "",
            
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      "name": "urban-scene-segmentation",
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      "name": "urban-scene-segmentation",
            
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      "title": "Urban Scene Segmentation"
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      "title": "Urban Scene Segmentation"
            
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  "name": "cityscapes-dataset",
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  "name": "cityscapes-dataset",
            
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  "notes": "The CityScapes dataset is a comprehensive urban street 
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  "notes": "The CityScapes dataset is a comprehensive urban street 
            
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scene understanding dataset and consists of a diverse set of stereo 
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scene understanding dataset and consists of a diverse set of stereo 
            
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video sequences captured from 50 distinct cities under favorable 
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video sequences captured from 50 distinct cities under favorable 
            
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weather conditions during daylight hours.",
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weather conditions during daylight hours.",
            
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  "title": "CityScapes Dataset",
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}
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}