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  "access_rights": "",
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  "author": "R. Mottaghi",
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  "author": "R. Mottaghi",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.2304.06957",
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    "https://doi.org/10.48550/arXiv.2304.06957",
            
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    "https://doi.org/10.48550/arXiv.1911.07257",
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    "https://doi.org/10.48550/arXiv.1911.07257",
            
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    "https://doi.org/10.48550/arXiv.2312.13514",
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    "https://doi.org/10.48550/arXiv.2312.13514",
            
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    "https://doi.org/10.48550/arXiv.2108.06536",
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    "https://doi.org/10.48550/arXiv.2108.06536",
            
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    "https://doi.org/10.48550/arXiv.2002.07371",
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    "https://doi.org/10.48550/arXiv.2002.07371",
            
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    "https://doi.org/10.48550/arXiv.1701.07122"
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    "https://doi.org/10.48550/arXiv.1701.07122"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.2003.10211",
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  "defined_in": "https://doi.org/10.48550/arXiv.2003.10211",
            
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  "doi": "10.57702/i5758bop",
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  "doi": "10.57702/i5758bop",
            
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  "doi_date_published": "2024-12-02",
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  "doi_date_published": "2024-12-02",
            
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  "doi_publisher": "TIB",
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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": "X. Chen",
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      "extra_author": "X. Chen",
            
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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": "X. Liu",
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      "extra_author": "X. Liu",
            
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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": "N. Cho",
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      "extra_author": "N. Cho",
            
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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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      "extra_author": "S. Lee",
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      "extra_author": "S. Lee",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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      "extra_author": "S. Fidler",
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      "extra_author": "S. Fidler",
            
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    },
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      "extra_author": "R. Urtasun",
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      "extra_author": "R. Urtasun",
            
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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": "A. Yuille",
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      "extra_author": "A. Yuille",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "name": "multi-task-learning",
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      "name": "multi-task-learning",
            
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      "title": "Multi-task Learning"
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      "title": "Multi-task Learning"
            
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      "name": "semantic-image-segmentation",
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      "name": "semantic-image-segmentation",
            
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      "title": "Semantic Image Segmentation"
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      "title": "Semantic Image Segmentation"
            
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      "name": "semantic-segmentation",
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      "name": "semantic-segmentation",
            
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      "title": "Semantic Segmentation"
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      "title": "Semantic Segmentation"
            
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  "name": "pascal-context",
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  "name": "pascal-context",
            
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  "notes": "The PASCAL Context dataset is a benchmark for multi-task 
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  "notes": "The PASCAL Context dataset is a benchmark for multi-task 
            
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learning in computer vision. It contains 10103 images with 5 tasks: 
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learning in computer vision. It contains 10103 images with 5 tasks: 
            
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semantic segmentation, human body part segmentation, surface normal 
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semantic segmentation, human body part segmentation, surface normal 
            
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estimation, saliency estimation, and edge detection.",
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      "id": "7eaed78e-c73a-4929-a8c9-60265069f59a",
            
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      "name": "image segmentation",
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    {
            
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      "name": "object detection",
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    },
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    {
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    {
            
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      "display_name": "pascal context",
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      "display_name": "pascal context",
            
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      "id": "a5068474-6385-49f4-a5ca-02658db44f60",
            
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      "name": "pascal context",
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      "name": "pascal context",
            
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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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      "display_name": "semantic segmentation",
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      "display_name": "semantic segmentation",
            
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      "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af",
            
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      "name": "semantic segmentation",
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      "name": "semantic segmentation",
            
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      "state": "active",
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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": "PASCAL Context",
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  "title": "PASCAL Context",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}