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  "author": "Francesco Manigrasso",
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  "author": "Liang-Chieh Chen",
            
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  "author_email": "",
            
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  "defined_in": "",
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  "defined_in": "https://doi.org/10.48550/arXiv.2309.03179",
            
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  "doi": "10.57702/jjmhry40",
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  "doi": "10.57702/jjmhry40",
            
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  "doi_date_published": "2024-12-02",
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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": "Filomeno Davide Miro",
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      "extra_author": "George Papandreou",
            
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    },
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    {
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      "extra_author": "Lia Morra",
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      "extra_author": "Iasonas Kokkinos",
            
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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": "Fabrizio Lamberti",
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      "extra_author": "Kevin Murphy",
            
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      "orcid": ""
            
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    },
            
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    {
            
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      "extra_author": "Alan L Yuille",
            
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      "orcid": ""
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    }
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    }
            
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  ],
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      "name": "object-detection",
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      "name": "image-segmentation",
            
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      "title": "Object Detection"
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      "title": "Image Segmentation"
            
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    {
            
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      "description": "",
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      "description": "",
            
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      "name": "part-detection",
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      "name": "part-segmentation",
            
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      "title": "Part Detection"
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      "title": "Part Segmentation"
            
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  "metadata_modified": "2024-12-02T22:27:49.949239",
            
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  "name": "pascal-part",
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  "name": "pascal-part",
            
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  "notes": "The PASCAL PART dataset is a benchmark for object 
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  "notes": "PASCAL-Part is a dataset for semantic part segmentation. 
            
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detection, containing 10,170 images with 20 object classes and 39 part 
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It contains images of cars and horses with annotated part segmentation 
            
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classes.",
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  "title": "PASCAL PART",
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  "title": "PASCAL-Part",
            
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  "type": "dataset",
            
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}