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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Lu He",
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  "author": "Lu He",
            
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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/10.48550/arXiv.1710.03958",
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    "https://doi.org/10.48550/arXiv.1710.03958",
            
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    "https://doi.org/10.48550/arXiv.1703.10025"
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    "https://doi.org/10.48550/arXiv.1703.10025"
            
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  ],
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.1811.05340",
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  "defined_in": "https://doi.org/10.48550/arXiv.1811.05340",
            
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  "doi": "10.57702/58xou3kx",
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  "doi": "10.57702/58xou3kx",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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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": "Qianyu Zhou",
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      "extra_author": "Qianyu Zhou",
            
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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": "Xiangtai Li",
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      "extra_author": "Xiangtai Li",
            
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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": "Li Niu",
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      "extra_author": "Li Niu",
            
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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": "Guangliang Cheng",
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      "extra_author": "Guangliang Cheng",
            
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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": "Xiao Li",
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      "extra_author": "Xiao Li",
            
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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": "Wenxuan Liu",
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      "extra_author": "Wenxuan Liu",
            
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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": "Yunhai Tong",
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      "extra_author": "Yunhai Tong",
            
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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": "Lizhuang Ma",
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      "extra_author": "Lizhuang Ma",
            
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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": "Liqing Zhang",
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      "extra_author": "Liqing Zhang",
            
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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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  "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 Detection",
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      "display_name": "Video Object Detection",
            
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      "name": "video-object-detection",
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      "name": "video-object-detection",
            
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      "title": "Video Object Detection"
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      "title": "Video Object Detection"
            
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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 Tracking",
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      "display_name": "Video Object Tracking",
            
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      "image_display_url": "",
            
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      "name": "video-object-tracking",
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      "name": "video-object-tracking",
            
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      "title": "Video Object Tracking"
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      "title": "Video Object Tracking"
            
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    }
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    }
            
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  ],
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  ],
            
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  "isopen": false,
            
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  "landing_page": "https://ai.stanford.edu/~jkrause/vid/vid.html",
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  "landing_page": "https://ai.stanford.edu/~jkrause/vid/vid.html",
            
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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": "2024-12-16T18:07:41.882252",
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  "metadata_created": "2024-12-16T18:07:41.882252",
            
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  "metadata_modified": "2024-12-16T18:07:41.882259",
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  "metadata_modified": "2024-12-16T18:07:42.266750",
            
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  "name": "imagenet-vid-dataset",
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  "name": "imagenet-vid-dataset",
            
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  "notes": "The ImageNet VID dataset is a large scale benchmark for 
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  "notes": "The ImageNet VID dataset is a large scale benchmark for 
            
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video object detection task consisting of 3,862 videos in the training 
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video object detection task consisting of 3,862 videos in the training 
            
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set and 555 videos in the validation set. 30 object categories are 
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set and 555 videos in the validation set. 30 object categories are 
            
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contained in this dataset.",
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contained in this dataset.",
            
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    "approval_status": "approved",
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    },
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    },
            
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    {
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    {
            
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      "display_name": "VID",
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      "display_name": "VID",
            
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      "id": "1e71c05d-0d1f-4d7d-9a0a-97a78945408c",
            
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      "name": "VID",
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      "name": "VID",
            
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      "state": "active",
            
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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 Detection",
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      "display_name": "Video Object Detection",
            
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      "id": "f6bd7d8c-7351-45fb-a6fb-32271f682d2d",
            
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      "name": "Video Object Detection",
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      "name": "Video Object Detection",
            
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      "state": "active",
            
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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 Tracking",
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      "display_name": "Video Object Tracking",
            
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      "id": "6feae914-e822-4bf9-860d-bf24a0002de4",
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      "id": "6feae914-e822-4bf9-860d-bf24a0002de4",
            
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      "name": "Video Object Tracking",
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    }
            
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  ],
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  ],
            
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  "title": "ImageNet VID dataset",
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  "title": "ImageNet VID dataset",
            
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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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}