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  "author": "Junyu Gao",
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  "author": "Junyu Gao",
            
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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/10.1016/j.patrec.2017.07.007"
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    "https://doi.org/10.1016/j.patrec.2017.07.007"
            
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  "doi": "10.57702/wp05mh75",
            
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  "doi_date_published": "2024-12-02",
            
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Maoguo Gong",
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      "extra_author": "Maoguo Gong",
            
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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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      "title": "Crowd Analysis"
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Crowd Counting",
            
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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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  "name": "shanghaitech-part-b",
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  "name": "shanghaitech-part-b",
            
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  "notes": "ShanghaiTech Part B is a crowd counting dataset that 
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  "notes": "ShanghaiTech Part B is a crowd counting dataset that 
            
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contains 400 training images and 316 test images.",
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  "title": "ShanghaiTech Part B",
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}