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  "author": "Ning Xu",
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  "author": "Ning Xu",
            
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  "doi": "10.57702/qzdb98hv",
            
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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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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Linjie Yang",
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      "extra_author": "Linjie Yang",
            
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    },
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    {
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      "extra_author": "Yuchen Fan",
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      "extra_author": "Yuchen Fan",
            
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    },
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    {
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      "extra_author": "Jianchao Yang",
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    },
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    {
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    {
            
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      "extra_author": "Dingcheng Yue",
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      "extra_author": "Dingcheng Yue",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Yuchen Liang",
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      "extra_author": "Yuchen Liang",
            
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      "orcid": ""
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    },
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      "orcid": ""
            
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    },
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      "extra_author": "Scott Cohen",
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      "extra_author": "Scott Cohen",
            
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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": "Thomas Huang",
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      "extra_author": "Thomas Huang",
            
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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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    {
            
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      "description": "",
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      "description": "",
            
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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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  "name": "youtube-vos",
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  "name": "youtube-vos",
            
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  "notes": "The Youtube-VOS dataset is a large-scale benchmark for 
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  "notes": "The Youtube-VOS dataset is a large-scale benchmark for 
            
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multi-object video object segmentation, containing 120 videos with 
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multi-object video object segmentation, containing 120 videos with 
            
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dense annotation.",
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  ],
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  "title": "Youtube-VOS",
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  "version": ""
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}
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}