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  "author": "Hanrong Ye",
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  "author": "Hanrong Ye",
            
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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.2312.13514",
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    "https://doi.org/10.48550/arXiv.2312.13514",
            
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  "doi": "10.57702/audn1foa",
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  "doi": "10.57702/audn1foa",
            
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Dan Xu",
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      "extra_author": "Dan Xu",
            
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    }
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      "name": "depth-estimation",
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      "name": "depth-estimation",
            
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      "name": "rgb-d-images",
            
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      "title": "RGB-D Images"
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      "title": "RGB-D Images"
            
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      "name": "semantic-segmentation",
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      "name": "semantic-segmentation",
            
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      "title": "Semantic Segmentation"
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      "title": "Semantic Segmentation"
            
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    },
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      "description": "",
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      "description": "",
            
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      "name": "surface-normal-prediction",
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      "name": "surface-normal-prediction",
            
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      "title": "Surface Normal Prediction"
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      "title": "Surface Normal Prediction"
            
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"https://www.robots.ox.ac.uk/~vgg/data/nyu_depth_v2/",
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"https://www.robots.ox.ac.uk/~vgg/data/nyu_depth_v2/",
            
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  "name": "nyud-v2",
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  "name": "nyud-v2",
            
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  "notes": "The NYUD-v2 dataset is a benchmark for indoor scene 
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  "notes": "The NYUD-v2 dataset is a benchmark for indoor scene 
            
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segmentation and depth estimation. It contains 1449 images with 4 
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segmentation and depth estimation. It contains 1449 images with 4 
            
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tasks: semantic segmentation, depth estimation, surface normal 
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tasks: semantic segmentation, depth estimation, surface normal 
            
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estimation, and edge detection.",
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estimation, and edge detection.",
            
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      "state": "active",
230
      "state": "active",
            
190
      "vocabulary_id": null
231
      "vocabulary_id": null
            
191
    }
232
    }
            
192
  ],
233
  ],
            
193
  "title": "NYUD-v2",
234
  "title": "NYUD-v2",
            
194
  "type": "dataset",
235
  "type": "dataset",
            
195
  "version": ""
236
  "version": ""
            
196
}
237
}