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  "access_rights": "",
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  "author": "Tim Siebert",
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  "author": "Tim Siebert",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2210.04510",
            
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  "doi": "10.57702/ukt8htxk",
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  "doi": "10.57702/ukt8htxk",
            
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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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    {
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    {
            
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      "extra_author": "Kai Norman Clasen",
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      "extra_author": "Kai Norman Clasen",
            
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    },
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    {
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      "extra_author": "Mahdyar Ravanbakhsh",
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      "extra_author": "Mahdyar Ravanbakhsh",
            
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      "orcid": ""
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    },
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    {
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      "extra_author": "Beg\u00fcm Demir",
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      "extra_author": "Beg\u00fcm Demir",
            
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      "orcid": ""
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      "name": "visual-question-answering",
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      "name": "visual-question-answering",
            
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      "title": "Visual Question Answering"
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      "title": "Visual Question Answering"
            
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//git.tu-berlin.de/rsim/multi-modal-fusion-transformer-for-vqa-in-rs",
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//git.tu-berlin.de/rsim/multi-modal-fusion-transformer-for-vqa-in-rs",
            
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  "metadata_modified": "2024-12-02T22:33:35.654881",
            
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  "name": "rsvqaxben",
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  "name": "rsvqaxben",
            
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  "notes": "The RSVQAxBEN dataset is a large-scale benchmark dataset 
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  "notes": "The RSVQAxBEN dataset is a large-scale benchmark dataset 
            
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for remote sensing visual question answering, based on the BigEarthNet 
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for remote sensing visual question answering, based on the BigEarthNet 
            
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(BEN) archive and containing 590,326 Sentinel-2 L2A image patches with 
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(BEN) archive and containing 590,326 Sentinel-2 L2A image patches with 
            
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12 spectral bands of varying resolution.",
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12 spectral bands of varying resolution.",
            
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      "name": "Spectral bands",
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      "display_name": "Visual Question Answering",
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      "display_name": "Visual Question Answering",
            
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      "name": "Visual Question Answering",
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  "title": "RSVQAxBEN",
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  "title": "RSVQAxBEN",
            
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}
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}