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  "author": "Xiangtai Li",
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  "author": "Xiangtai Li",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2401.10229",
            
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  "doi": "10.57702/jkmuezhi",
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  "doi": "10.57702/jkmuezhi",
            
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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": "Haobo Yuan",
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      "extra_author": "Haobo Yuan",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Wei Li",
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      "extra_author": "Wei Li",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Henghui Ding",
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      "extra_author": "Henghui Ding",
            
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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": "Chen Change Loy",
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      "extra_author": "Chen Change Loy",
            
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      "orcid": ""
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      "orcid": ""
            
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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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      "name": "video-segmentation",
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      "name": "video-segmentation",
            
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  "name": "omg-seg-dataset",
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  "name": "omg-seg-dataset",
            
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  "notes": "The dataset used for training and testing the OMG-Seg 
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  "notes": "The dataset used for training and testing the OMG-Seg 
            
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model, which includes COCO panoptic, COCO-SAM, VIPSeg, 
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model, which includes COCO panoptic, COCO-SAM, VIPSeg, 
            
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Youtube-VIS-2019, and Youtube-VIS-2021 datasets.",
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Youtube-VIS-2019, and Youtube-VIS-2021 datasets.",
            
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  "title": "OMG-Seg Dataset",
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}
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}