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  "access_rights": "",
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  "author": "Kun Dai",
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  "author": "Kun Dai",
            
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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.2103.12091",
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    "https://doi.org/10.48550/arXiv.2103.12091",
            
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    "https://doi.org/10.48550/arXiv.2311.18610",
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    "https://doi.org/10.48550/arXiv.2311.18610",
            
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    "https://doi.org/10.48550/arXiv.1908.03364"
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    "https://doi.org/10.48550/arXiv.1908.03364"
            
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  ],
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  "doi": "10.57702/yv5yc1z0",
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  "doi": "10.57702/yv5yc1z0",
            
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  "doi_date_published": "2024-11-25",
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Tao Xie",
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      "extra_author": "Tao Xie",
            
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      "orcid": ""
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    },
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      "extra_author": "Ke Wang",
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      "extra_author": "Ke Wang",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Zhiqiang Jiang",
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      "extra_author": "Zhiqiang Jiang",
            
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      "orcid": ""
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    },
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    {
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      "extra_author": "Ruifeng Li",
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      "extra_author": "Ruifeng Li",
            
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    },
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    {
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      "extra_author": "Lijun Zhao",
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  "name": "scannet",
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  "notes": "The dataset used for training and testing the proposed 
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  "notes": "The dataset used for training and testing the proposed 
            
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RGBD-based obstacle avoidance system for visually impaired people.",
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      "name": "Scene Understanding",
236
      "name": "Scene Understanding",
            
196
      "state": "active",
237
      "state": "active",
            
197
      "vocabulary_id": null
238
      "vocabulary_id": null
            
198
    },
239
    },
            
199
    {
240
    {
            
200
      "display_name": "ground-truth poses",
241
      "display_name": "ground-truth poses",
            
201
      "id": "d38024cd-d9b8-41d6-ba2f-3a0155fb25bb",
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      "id": "d38024cd-d9b8-41d6-ba2f-3a0155fb25bb",
            
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      "name": "ground-truth poses",
243
      "name": "ground-truth poses",
            
203
      "state": "active",
244
      "state": "active",
            
204
      "vocabulary_id": null
245
      "vocabulary_id": null
            
205
    },
246
    },
            
206
    {
247
    {
            
207
      "display_name": "indoor scene",
248
      "display_name": "indoor scene",
            
208
      "id": "6ea936b7-33d6-416a-9639-c65133309404",
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      "id": "6ea936b7-33d6-416a-9639-c65133309404",
            
209
      "name": "indoor scene",
250
      "name": "indoor scene",
            
210
      "state": "active",
251
      "state": "active",
            
211
      "vocabulary_id": null
252
      "vocabulary_id": null
            
212
    },
253
    },
            
213
    {
254
    {
            
214
      "display_name": "scanning",
255
      "display_name": "scanning",
            
215
      "id": "13b6e2c4-edcb-4e86-92d0-499e934ca685",
256
      "id": "13b6e2c4-edcb-4e86-92d0-499e934ca685",
            
216
      "name": "scanning",
257
      "name": "scanning",
            
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      "state": "active",
258
      "state": "active",
            
218
      "vocabulary_id": null
259
      "vocabulary_id": null
            
219
    }
260
    }
            
220
  ],
261
  ],
            
221
  "title": "Scannet",
262
  "title": "Scannet",
            
222
  "type": "dataset",
263
  "type": "dataset",
            
223
  "version": ""
264
  "version": ""
            
224
}
265
}