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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Zunlei Feng",
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  "author": "Zunlei Feng",
            
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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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  "defined_in": "https://doi.org/10.48550/arXiv.1805.10583",
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  "defined_in": "https://doi.org/10.48550/arXiv.1805.10583",
            
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  "doi": "10.57702/57iw6r9v",
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  "doi": "10.57702/57iw6r9v",
            
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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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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Xinchao Wang",
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      "extra_author": "Xinchao 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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    {
            
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      "extra_author": "Chenglong Ke",
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      "extra_author": "Chenglong Ke",
            
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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": "Anxiang Zeng",
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      "extra_author": "Anxiang Zeng",
            
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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": "Dacheng Tao",
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      "extra_author": "Dacheng Tao",
            
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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": "Mingli Song",
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      "extra_author": "Mingli Song",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "description": "",
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      "display_name": "Disentangling",
            
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      "name": "disentangling",
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      "name": "disentangling",
            
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      "title": "Disentangling"
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      "title": "Disentangling"
            
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      "description": "",
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      "description": "",
            
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      "name": "image-dataset",
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      "name": "image-dataset",
            
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      "title": "Image Dataset"
            
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  "name": "mugshot-dataset",
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  "name": "mugshot-dataset",
            
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  "notes": "The dataset used in the paper is a wide domain image 
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  "notes": "The dataset used in the paper is a wide domain image 
            
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dataset, and the authors propose a weakly semi-supervised method for 
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dataset, and the authors propose a weakly semi-supervised method for 
            
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disentangling using both labeled and unlabeled data.",
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disentangling using both labeled and unlabeled data.",
            
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      "display_name": "Image",
            
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      "name": "Image",
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  "title": "Mugshot dataset",
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}
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}