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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Andra Acsintoae",
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  "author": "Andra Acsintoae",
            
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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.2301.09489",
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  "defined_in": "https://doi.org/10.48550/arXiv.2301.09489",
            
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  "doi": "10.57702/iyiaephv",
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  "doi": "10.57702/iyiaephv",
            
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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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  "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": "Andrei Florescu",
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      "extra_author": "Andrei Florescu",
            
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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": "Mariana-Iuliana Georgescu",
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      "extra_author": "Mariana-Iuliana Georgescu",
            
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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": "Tudor Mare",
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      "extra_author": "Tudor Mare",
            
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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": "Paul Sumedrea",
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      "extra_author": "Paul Sumedrea",
            
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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": "Radu Tudor Ionescu",
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      "extra_author": "Radu Tudor Ionescu",
            
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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": "Fahad Shahbaz Khan",
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      "extra_author": "Fahad Shahbaz Khan",
            
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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": "Mubarak Shah",
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      "extra_author": "Mubarak Shah",
            
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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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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Anomaly Detection",
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      "display_name": "Anomaly Detection",
            
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      "name": "anomaly-detection",
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      "name": "anomaly-detection",
            
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      "title": "Anomaly Detection"
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      "title": "Anomaly 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 Anomaly Detection",
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      "display_name": "Video Anomaly Detection",
            
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      "image_display_url": "",
            
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      "name": "video-anomaly-detection",
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      "name": "video-anomaly-detection",
            
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      "title": "Video Anomaly Detection"
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      "title": "Video Anomaly Detection"
            
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    }
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    }
            
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  ],
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  "landing_page": "https://doi.org/10.1109/CVPR.2022.00065",
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  "landing_page": "https://doi.org/10.1109/CVPR.2022.00065",
            
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  "license_title": null,
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  "metadata_created": "2024-12-02T18:23:40.515469",
            
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  "metadata_modified": "2024-12-02T18:23:40.839178",
            
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  "name": "ubnormal",
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  "name": "ubnormal",
            
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  "notes": "The UBnormal dataset is a recent and large dataset 
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  "notes": "The UBnormal dataset is a recent and large dataset 
            
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proposed for supervised anomaly detection. In contrast to other 
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proposed for supervised anomaly detection. In contrast to other 
            
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benchmarks, it is a synthetic dataset created with Cinema4D. Starting 
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benchmarks, it is a synthetic dataset created with Cinema4D. Starting 
            
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from 29 natural 2D images with different backgrounds, the authors 
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from 29 natural 2D images with different backgrounds, the authors 
            
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obtain virtual 3D scenes. For each scene, they produced 19 clips, 
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obtain virtual 3D scenes. For each scene, they produced 19 clips, 
            
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which encompass both normal and abnormal events.",
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which encompass both normal and abnormal events.",
            
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    "approval_status": "approved",
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distributions based on DCAT.",
            
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      "name": "Video Anomaly Detection",
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      "display_name": "supervised anomaly detection",
            
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      "id": "226d6c10-ea7e-4a90-86e6-f5ad3a19e32b",
            
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      "name": "supervised anomaly detection",
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      "name": "supervised anomaly detection",
            
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    },
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    },
            
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      "display_name": "synthetic dataset",
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      "display_name": "synthetic dataset",
            
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      "id": "81a8d3d6-fe87-4f43-9fde-738b923d6290",
            
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  "title": "UBnormal",
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  "title": "UBnormal",
            
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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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}