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  "access_rights": "",
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  "author": "Fabian David Tschopp",
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  "author": "Jordi Pont-Tuset",
            
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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.2009.01835",

            
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    "https://doi.org/10.48550/arXiv.2211.10791",

            
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    "https://doi.org/10.48550/arXiv.1806.04793"

            
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  "doi": "10.57702/dogxsvtb",
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  "doi": "10.57702/dogxsvtb",
            
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  "doi_date_published": "2024-12-02",
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  "doi_date_published": "2024-12-02",
            
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  "extra_authors": [
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    {
            
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      "extra_author": "Michael B. Reiser",
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      "extra_author": "Federico Perazzi",
            
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    },
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      "extra_author": "Srinivas C. Turaga",
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      "extra_author": "Sergi Caelles",
            
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      "orcid": ""
            
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      "extra_author": "Pablo Arbel\u00e1ez",
            
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    },
            
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      "extra_author": "Luc Van Gool",
            
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      "name": "video-object-segmentation",
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      "name": "video-object-segmentation",
            
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      "title": "Video Object Segmentation"
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      "title": "Video Object Segmentation"
            
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  "name": "davis-dataset",
            
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  "notes": "The Davis dataset is a benchmark for video object 
            
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segmentation, containing 30 training video sequences and 20 validation 
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  "title": "DAVIS dataset",
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  "title": "Davis dataset",
            
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