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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "D. Gray",
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  "author": "Aayush Bansal",
            
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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.1808.05174",
            
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    "https://doi.org/10.48550/arXiv.2004.06502"
            
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  ],
            
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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": "",
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  "defined_in": "https://doi.org/10.48550/arXiv.1908.09514",
            
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  "doi": "10.57702/iywas1al",
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  "doi": "10.57702/iywas1al",
            
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  "doi_date_published": "2024-11-25",
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  "doi_date_published": "2024-11-25",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "doi_status": true,
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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": "S. Brennan",
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      "extra_author": "Shugao 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": "H. Tao",
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      "extra_author": "Deva Ramanan",
            
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      "orcid": ""
            
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    },
            
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    {
            
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      "extra_author": "Yaser Sheikh",
            
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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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      "description": "",
            
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      "display_name": "Image-to-Labels",
            
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      "id": "558426b8-093d-4b47-bb83-0c0c55eac7cf",
            
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      "image_display_url": "",
            
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      "name": "image-to-labels",
            
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      "title": "Image-to-Labels"
            
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    },
            
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    {
            
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      "description": "",
            
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      "display_name": "Labels-to-Image",
            
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      "id": "80b546b0-a0e3-44f0-9d2a-707f07309c06",
            
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      "image_display_url": "",
            
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      "name": "labels-to-image",
            
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      "title": "Labels-to-Image"
            
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    },
            
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    {
            
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      "description": "",
            
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      "display_name": "Video Segmentation",
            
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      "id": "c96fadcb-3e8c-4ce6-abe8-1a388c84a991",
            
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      "image_display_url": "",
            
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      "name": "video-segmentation",
            
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      "title": "Video Segmentation"
            
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    },
            
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    {
            
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      "description": "",
            
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      "display_name": "Video-to-Video Translation",
            
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      "id": "5f4e64e8-dc14-44c5-a0fc-7afd7a07da6e",
            
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      "image_display_url": "",
            
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      "name": "video-to-video-translation",
            
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      "title": "Video-to-Video Translation"
            
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    },
            
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    {
            
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      "description": "",
            
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      "display_name": "Visual Perception",
            
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      "id": "54e73f52-068c-40ef-aa56-f35c96bf6e86",
            
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      "image_display_url": "",
            
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      "name": "visual-perception",
            
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      "title": "Visual Perception"
            
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    }
            
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  ],
            
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  "id": "c3c92de0-28f9-46ba-9184-49b90a86192f",
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  "id": "c3c92de0-28f9-46ba-9184-49b90a86192f",
            
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  "isopen": false,
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  "isopen": false,
            
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  "landing_page": "http://vision.soe.ucsc.edu/projects",
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  "landing_page": "https://arxiv.org/abs/1606.03698",
            
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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": "2024-11-25T14:56:06.940700",
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  "metadata_created": "2024-11-25T14:56:06.940700",
            
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  "metadata_modified": "2024-11-25T14:56:07.403162",
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  "metadata_modified": "2024-12-02T18:15:06.070465",
            
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  "name": "viper-dataset",
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  "name": "viper-dataset",
            
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  "notes": "The VIPeR dataset consists of pedestrian pairs captured 
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  "notes": "The Viper dataset is a visual perception benchmark to 
            
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from two different camera views in outdoor environments. It is widely 
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facilitate both low-level and high-level vision tasks, e.g., optical 
            
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used for evaluating person re-identification algorithms.",
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flow and semantic segmentation. It consists of videos from a realistic 
            
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virtual world (i.e. GTA gameplay), which are collected while driving, 
            
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riding and walking in diverse ambient conditions (day, sunset, snow, 
            
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rain, and night). Each frame (resolution: 1920 \u00d7 1080) is 
            
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annotated with pix-level labels, i.e., segmentation label map.",
            
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  "num_resources": 1,
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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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    "image_url": "",
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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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    {
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    {
            
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      "cache_last_updated": null,
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      "display_name": "Multimodal Dataset",
            
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      "cache_url": null,
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      "id": "9f9762b6-4a47-49b5-8044-262d8e8d75f4",
            
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      "created": "2024-11-25T15:30:26",
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      "name": "Multimodal Dataset",
            
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        "mls:task"

            
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      ],

            
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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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      "id": "b98beaa0-7b9b-4c30-82a8-aa398dca9c7c",

            
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      "last_modified": "2024-11-25T14:56:07.396258",

            
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      "size": 769,

            
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      "url_type": "upload"
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    {
            
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      "display_name": "Unsupervised Learning",
            
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      "name": "Viper",
            
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    },
            
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    },
            
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    {
            
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      "name": "semantic labels",
            
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      "vocabulary_id": null
            
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    },
            
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    {
            
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      "display_name": "video",
            
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      "id": "f867b62b-f4d0-472d-ad6f-16729253a79f",
            
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      "name": "video",
            
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    }
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  ],
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  "services_used_list": "",
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  "state": "active",

            
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  "tags": [],

            
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  "title": "VIPeR dataset",
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  "title": "Viper 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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}