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  "author": "Bangjie Yin",
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  "author": "Bangjie Yin",
            
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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.1601.07883",
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    "https://doi.org/10.48550/arXiv.1601.07883",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.1902.04755",
            
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  "doi": "10.57702/ikgeqw71",
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  "doi": "10.57702/ikgeqw71",
            
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  "doi_date_published": null,
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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": "Luan Tran",
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      "extra_author": "Luan Tran",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Haoxiang Li",
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      "extra_author": "Haoxiang 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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      "extra_author": "Xiaohui Shen",
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      "extra_author": "Xiaohui Shen",
            
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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": "Xiaoming Liu",
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      "extra_author": "Xiaoming Liu",
            
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      "orcid": ""
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      "orcid": ""
            
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      "name": "face-recognition",
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      "name": "face-recognition",
            
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      "title": "Face Recognition"
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      "title": "Face Recognition"
            
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  "name": "ijb-a",
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  "name": "ijb-a",
            
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  "notes": "The IJB-A dataset is a large-scale unconstrained face 
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  "notes": "The IJB-A dataset is a large-scale unconstrained face 
            
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recognition dataset, containing 5,397 images and 2,042 videos from 500 
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recognition dataset, containing 5,397 images and 2,042 videos from 500 
            
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subjects, captured from in-the-wild environment to avoid near frontal 
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subjects, captured from in-the-wild environment to avoid near frontal 
            
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}