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  "access_rights": "",
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  "author": "Qi Wang",
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  "author": "Qi Wang",
            
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  "author_email": "",
            
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  "citation": [],
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2212.02248",
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  "defined_in": "https://doi.org/10.48550/arXiv.2212.02248",
            
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  "doi": "10.57702/coj799d4",
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  "doi": "10.57702/coj799d4",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-03",
            
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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": "Juncheng Wang",
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      "extra_author": "Juncheng Wang",
            
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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": "Junyu Gao",
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      "extra_author": "Junyu Gao",
            
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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": "Yuan Yuan",
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      "extra_author": "Yuan Yuan",
            
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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": "Xuelong Li",
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      "extra_author": "Xuelong Li",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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  ],
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      "title": "Computer Vision"
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Crowd Counting",
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      "display_name": "Crowd Counting",
            
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      "image_display_url": "",
            
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      "name": "crowd-counting",
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      "name": "crowd-counting",
            
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      "title": "Crowd Counting"
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      "title": "Crowd Counting"
            
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  "metadata_modified": "2024-12-03T09:22:25.527965",
            
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  "name": "crowd-counting-datasets",
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  "name": "crowd-counting-datasets",
            
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  "notes": "The dataset used in the paper for crowd counting, which 
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  "notes": "The dataset used in the paper for crowd counting, which 
            
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includes five challenging benchmarks: ShanghaiTech Part A & Part B 
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includes five challenging benchmarks: ShanghaiTech Part A & Part B 
            
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(SHHA & SHHB), UCF-QNRF (QNRF), JHU-Crowd++ (JHU), and NWPU-Crowd 
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(SHHA & SHHB), UCF-QNRF (QNRF), JHU-Crowd++ (JHU), and NWPU-Crowd 
            
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(NWPU).",
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(NWPU).",
            
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      "created": "2024-12-03T10:17:29",
            
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      "description": "The json representation of the dataset with its 
            
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      "format": "JSON",
            
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      "name": "crowd counting",
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  ],
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  "title": "Crowd Counting Datasets",
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  "title": "Crowd Counting Datasets",
            
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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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}