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  "access_rights": "",
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  "author": "Fatemeh Azimi",
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  "author": "Fatemeh Azimi",
            
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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/10.1109/TCSVT.2023.3341170"
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    "https://doi.org/10.1109/TCSVT.2023.3341170"
            
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  "doi": "10.57702/5w53la99",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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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": "Stanislav Frolov",
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      "extra_author": "Stanislav Frolov",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Federico Raue",
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      "extra_author": "Federico Raue",
            
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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": "J\u00a8orn Hees",
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      "extra_author": "J\u00a8orn Hees",
            
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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": "Andreas Dengel",
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      "extra_author": "Andreas Dengel",
            
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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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  "groups": [
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Video Object Segmentation",
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      "display_name": "Video Object Segmentation",
            
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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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    }
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  "name": "davis2017",
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  "name": "davis2017",
            
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  "notes": "One-shot Video Object Segmentation (VOS) is the task of 
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  "notes": "One-shot Video Object Segmentation (VOS) is the task of 
            
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pixel-wise tracking an object of interest within a video sequence, 
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pixel-wise tracking an object of interest within a video sequence, 
            
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where the segmentation mask of the \ufb01rst frame is given at 
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where the segmentation mask of the \ufb01rst frame is given at 
            
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inference time.",
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inference time.",
            
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}