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  "author": "Yu-Chuan Su",
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  "author": "Yu-Chuan Su",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.1812.03115",
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  "defined_in": "https://doi.org/10.48550/arXiv.1812.03115",
            
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  "doi": "10.57702/2epesh65",
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  "doi": "10.57702/2epesh65",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-11-25",
            
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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": "Kristen Grauman",
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      "extra_author": "Kristen Grauman",
            
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  "name": "spherical-mnist",
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  "name": "spherical-mnist",
            
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  "notes": "Spherical MNIST is constructed from the MNIST dataset by 
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  "notes": "Spherical MNIST is constructed from the MNIST dataset by 
            
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back projecting the digits into equirectangular projection with a 
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back projecting the digits into equirectangular projection with a 
            
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resolution of 160x80. The digit labels are used to train the source 
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resolution of 160x80. The digit labels are used to train the source 
            
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CNN (recognition model), but they are not used to train the KTN.",
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CNN (recognition model), but they are not used to train the KTN.",
            
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distributions based on DCAT.",
            
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  "tags": [],
            
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  "title": "Spherical MNIST",
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  "title": "Spherical MNIST",
            
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}
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}