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  "access_rights": "",
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  "author": "Yuxiang Ji",
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  "author": "Yuxiang Ji",
            
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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.2206.08927",
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    "https://doi.org/10.48550/arXiv.2206.08927",
            
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    "https://doi.org/10.1109/ACCESS.2022.3192605",
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    "https://doi.org/10.1109/ACCESS.2022.3192605",
            
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    "https://doi.org/10.48550/arXiv.2402.08712",
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    "https://doi.org/10.48550/arXiv.2402.08712",
            
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    "https://doi.org/10.48550/arXiv.2210.13077",
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    "https://doi.org/10.48550/arXiv.2210.13077",
            
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    "https://doi.org/10.48550/arXiv.2304.14291",
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    "https://doi.org/10.48550/arXiv.2304.14291",
            
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    "https://doi.org/10.48550/arXiv.2008.05149",
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    "https://doi.org/10.48550/arXiv.2008.05149",
            
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    "https://doi.org/10.1117/12.2556380",
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    "https://doi.org/10.1117/12.2556380",
            
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    "https://doi.org/10.48550/arXiv.2406.00777"
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    "https://doi.org/10.48550/arXiv.2406.00777"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.2111.15300",
            
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  "doi": "10.57702/tmkbypkg",
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  "doi": "10.57702/tmkbypkg",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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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": "Boyong He",
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      "extra_author": "Boyong He",
            
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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": "Chenyuan Qu",
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      "extra_author": "Chenyuan Qu",
            
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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": "Zhuoyue Tan",
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      "extra_author": "Zhuoyue Tan",
            
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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": "Chuan Qin",
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      "extra_author": "Chuan Qin",
            
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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": "Liaoni Wu",
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      "extra_author": "Liaoni Wu",
            
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      "orcid": ""
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      "orcid": ""
            
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      "name": "semantic-segmentation",
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      "description": "",
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      "name": "urban-scene-understanding",
            
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      "title": "Urban scene understanding"
            
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  "name": "synthia",
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  "name": "synthia",
            
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understanding dataset, containing 9000 samples. It is used for 
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understanding dataset, containing 9000 samples. It is used for 
            
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semantic segmentation tasks.",
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    {
            
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      "id": "f51e69aa-e8c9-4347-bec6-9f381ea022d1",
            
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      "name": "synthia",
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    },
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    {
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      "display_name": "urban scene understanding",
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    }
            
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  ],
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  ],
            
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  "title": "Synthia",
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  "title": "Synthia",
            
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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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}