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  "author": "D. J. Butler",
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  "author": "D. J. Butler",
            
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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.2006.12235",
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    "https://doi.org/10.48550/arXiv.2006.12235",
            
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    "https://doi.org/10.48550/arXiv.2403.10425",
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    "https://doi.org/10.48550/arXiv.2403.10425",
            
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    "https://doi.org/10.48550/arXiv.2006.04902",
            
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    "https://doi.org/10.48550/arXiv.2306.01923",
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    "https://doi.org/10.48550/arXiv.2306.01923",
            
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    "https://doi.org/10.48550/arXiv.2006.12263",
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    "https://doi.org/10.48550/arXiv.2006.12263",
            
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    "https://doi.org/10.48550/arXiv.2306.05691"
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    "https://doi.org/10.48550/arXiv.2306.05691"
            
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  ],
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  "doi": "10.57702/1e93pdg0",
            
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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": "J. Wulff",
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      "extra_author": "J. Wulff",
            
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "G. B. Stanley",
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      "extra_author": "G. B. Stanley",
            
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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": "M. J. Black",
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      "extra_author": "M. J. Black",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "name": "computer-vision",
            
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      "title": "Computer Vision"
            
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      "description": "",
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      "name": "monocular-depth-estimation",
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      "name": "monocular-depth-estimation",
            
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      "title": "Monocular Depth Estimation"
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      "title": "Monocular Depth Estimation"
            
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      "display_name": "Optical Flow",
            
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      "name": "optical-flow",
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      "name": "optical-flow",
            
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      "title": "Optical Flow"
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      "title": "Optical Flow"
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Optical Flow Estimation",
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      "display_name": "Optical Flow Estimation",
            
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      "image_display_url": "",
            
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      "name": "optical-flow-estimation",
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      "name": "optical-flow-estimation",
            
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      "title": "Optical Flow Estimation"
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      "title": "Optical Flow Estimation"
            
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  "name": "sintel",
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  "name": "sintel",
            
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  "notes": "Dense pixel matching is required for many computer vision 
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  "notes": "Dense pixel matching is required for many computer vision 
            
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algorithms such as disparity, optical flow or scene flow estimation. 
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algorithms such as disparity, optical flow or scene flow estimation. 
            
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Feature Pyramid Networks (FPN) have proven to be a suitable feature 
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Feature Pyramid Networks (FPN) have proven to be a suitable feature 
            
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extractor for CNN-based dense matching tasks.",
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extractor for CNN-based dense matching tasks.",
            
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  ],
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  "title": "Sintel",
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  "title": "Sintel",
            
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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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}