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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Vincenzo Lomonaco",
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  "author": "Vincenzo Lomonaco",
            
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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.2312.06710",
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    "https://doi.org/10.48550/arXiv.2312.06710",
            
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    "https://doi.org/10.48550/arXiv.2404.01397",
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    "https://doi.org/10.48550/arXiv.1904.05767",
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    "https://doi.org/10.48550/arXiv.1904.05767",
            
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    "https://doi.org/10.1109/WACV57701.2024.00178",
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    "https://doi.org/10.1109/WACV57701.2024.00178",
            
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    "https://doi.org/10.48550/arXiv.2112.08654"
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    "https://doi.org/10.48550/arXiv.2112.08654"
            
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  "defined_in": "https://doi.org/10.48550/arXiv.1907.03799",
            
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  "doi": "10.57702/ex8pjxz9",
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  "doi": "10.57702/ex8pjxz9",
            
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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": "Davide Maltoni",
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      "extra_author": "Davide Maltoni",
            
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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": "Lorenzo Pellegrini",
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      "extra_author": "Lorenzo Pellegrini",
            
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      "orcid": ""
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      "orcid": ""
            
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      "name": "continual-learning",
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      "name": "continuous-object-recognition",
            
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      "title": "Continuous Object Recognition"
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      "title": "Continuous Object Recognition"
            
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      "name": "hand-pose-estimation",
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      "name": "hand-pose-estimation",
            
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      "title": "Hand Pose Estimation"
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      "title": "Hand Pose Estimation"
            
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      "name": "object-recognition",
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      "name": "object-recognition",
            
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      "title": "Object Recognition"
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      "title": "Object Recognition"
            
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      "name": "rgb-images",
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      "name": "rgb-images",
            
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  "license_title": null,
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  "metadata_created": "2024-12-02T17:49:49.193668",
            
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  "metadata_modified": "2024-12-02T17:49:49.543238",
            
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  "name": "core50",
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  "name": "core50",
            
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  "notes": "CORe50 is a video benchmark for continual learning, 
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  "notes": "CORe50 is a video benchmark for continual learning, 
            
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consisting of 164,866 128x128 images of 50 domestic objects belonging 
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consisting of 164,866 128x128 images of 50 domestic objects belonging 
            
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to 10 categories.",
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to 10 categories.",
            
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      "id": "95981a51-7eb5-46d4-a6b1-25bc4f592b1b",
            
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      "display_name": "object recognition",
            
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      "id": "cbac3f3d-b235-44b0-8bfb-30bf00e44b8c",
            
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      "name": "object recognition",
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      "name": "object recognition",
            
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    {
            
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      "display_name": "video benchmark",
            
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      "id": "03731b95-98e8-4f2e-845a-ee7c84a61783",
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      "id": "03731b95-98e8-4f2e-845a-ee7c84a61783",
            
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      "name": "video benchmark",
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  ],
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  ],
            
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  "title": "CORe50",
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  "title": "CORe50",
            
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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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}
233
}