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{
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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Tao Zhou",
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  "author": "Tao Zhou",
            
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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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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2403.04194",
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  "defined_in": "https://doi.org/10.48550/arXiv.2403.04194",
            
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  "doi": "10.57702/j8wd7gz5",
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  "doi": "10.57702/j8wd7gz5",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "doi_status": false,
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  "doi_status": true,
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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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": "Wenhan Luo",
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      "extra_author": "Wenhan Luo",
            
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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": "Qi Ye",
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      "extra_author": "Qi Ye",
            
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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": "Zhiguo Shi",
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      "extra_author": "Zhiguo Shi",
            
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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": "Jiming Chen",
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      "extra_author": "Jiming 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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  "groups": [
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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 Instance Segmentation",
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      "display_name": "Video Instance Segmentation",
            
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      "id": "117b8c6b-436e-45e9-9d3e-ddc7604f7a38",
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "video-instance-segmentation",
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      "name": "video-instance-segmentation",
            
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      "title": "Video Instance Segmentation"
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      "title": "Video Instance Segmentation"
            
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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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      "display_name": "Video Object Segmentation",
            
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      "id": "dff2aa99-879a-4411-b97e-9ad0b2fef561",
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      "image_display_url": "",
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      "image_display_url": "",
            
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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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    }
            
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  ],
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  ],
            
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  "id": "1bfacbc4-5bf5-4fb4-9cb9-eb9a313f52b2",
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  "isopen": false,
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  "isopen": false,
            
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  "landing_page": "https://github.com/infZhou/SAM-PD",
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  "landing_page": "https://github.com/infZhou/SAM-PD",
            
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  "license_title": null,
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  "license_title": null,
            
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  "link_orkg": "",
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  "link_orkg": "",
            
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  "metadata_created": "2024-12-02T23:44:01.429166",
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  "metadata_created": "2024-12-02T23:44:01.429166",
            
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  "metadata_modified": "2024-12-02T23:44:01.429172",
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  "metadata_modified": "2024-12-02T23:44:01.898738",
            
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  "name": 
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  "name": 
            
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-sam-take-us-in-tracking-and-segmenting-anything-by-prompt-denoising",
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-sam-take-us-in-tracking-and-segmenting-anything-by-prompt-denoising",
            
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  "notes": "The paper introduces an online method, named SAM-PD, that 
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  "notes": "The paper introduces an online method, named SAM-PD, that 
            
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applies SAM to track and segment objects throughout the video.",
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applies SAM to track and segment objects throughout the video.",
            
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  "num_resources": 0,
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  "num_resources": 1,
            
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  "num_tags": 4,
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  "num_tags": 4,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2024-11-25T12:11:38.292601",
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    "created": "2024-11-25T12:11:38.292601",
            
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    "description": "",
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    "description": "",
            
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    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
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    "image_url": "",
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    "type": "organization"
            
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  },
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  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
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  "private": false,
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  "private": false,
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "resources": [],
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      "created": "2024-12-03T00:20:35",
            
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      "data": [
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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      "id": "ef7904f7-86a5-4e11-b5b4-5b2a606e079a",
            
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      "last_modified": "2024-12-02T23:44:01.891445",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "Prompt Denoising",
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      "display_name": "Prompt Denoising",
            
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      "id": "3aadf08b-febc-4af5-8295-2c912720c932",
            
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      "name": "Prompt Denoising",
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      "name": "Prompt Denoising",
            
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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": "SAM-PD",
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      "display_name": "SAM-PD",
            
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      "id": "c1f78947-c781-4c3c-852f-4458c931bcac",
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      "id": "c1f78947-c781-4c3c-852f-4458c931bcac",
            
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      "name": "SAM-PD",
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      "name": "SAM-PD",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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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": "Video Instance Segmentation",
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      "display_name": "Video Instance Segmentation",
            
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      "id": "bdbb8ad7-4f46-418e-aef9-d3004bd782a9",
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      "id": "bdbb8ad7-4f46-418e-aef9-d3004bd782a9",
            
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      "name": "Video Instance Segmentation",
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      "name": "Video Instance Segmentation",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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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": "Video Object Segmentation",
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      "display_name": "Video Object Segmentation",
            
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      "id": "91f0880d-1ed0-4221-8930-f0f2b46f28cc",
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      "id": "91f0880d-1ed0-4221-8930-f0f2b46f28cc",
            
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      "name": "Video Object Segmentation",
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      "name": "Video Object Segmentation",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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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": "SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting 
152
  "title": "SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting 
            
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Anything by Prompt Denoising",
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Anything by Prompt Denoising",
            
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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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}