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  "author": "Jinhong Wang",
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  "author": "Jinhong Wang",
            
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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.1710.02985"
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    "https://doi.org/10.48550/arXiv.1710.02985"
            
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  ],
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  "doi": "10.57702/7mdkglx8",
            
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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": "Yi Cheng",
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      "extra_author": "Yi Cheng",
            
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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": "Jintai Chen",
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      "extra_author": "Jintai Chen",
            
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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": "TingTing Chen",
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      "extra_author": "TingTing Chen",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Danny Chen",
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      "extra_author": "Danny Chen",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Jian Wu",
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      "extra_author": "Jian Wu",
            
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      "orcid": ""
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      "name": "facial-expression-recognition",
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      "name": "facial-expression-recognition",
            
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      "title": "Facial Expression Recognition"
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      "title": "Facial Expression Recognition"
            
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      "name": "gender-estimation",
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      "title": "Gender Estimation"
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  "name": "adience",
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  "name": "adience",
            
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  "notes": "Ordinal regression refers to classifying object instances 
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  "notes": "Ordinal regression refers to classifying object instances 
            
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into ordinal categories. It has been widely studied in many scenarios, 
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into ordinal categories. It has been widely studied in many scenarios, 
            
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such as medical disease grading and movie rating. Known methods 
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such as medical disease grading and movie rating. Known methods 
            
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focused only on learning inter-class ordinal relationships, but still 
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focused only on learning inter-class ordinal relationships, but still 
            
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incur limitations in distinguishing adjacent categories thus far.",
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incur limitations in distinguishing adjacent categories thus far.",
            
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  "title": "Adience",
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  "title": "Adience",
            
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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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}