Changes
On December 2, 2024 at 5:50:51 PM UTC,
admin:
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Added resource Original Metadata to S3DIS
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| 3 | "author": "Wei Zhou", | 3 | "author": "Wei Zhou", | ||
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
| 6 | "https://doi.org/10.48550/arXiv.1904.02375", | 6 | "https://doi.org/10.48550/arXiv.1904.02375", | ||
| 7 | "https://doi.org/10.48550/arXiv.2107.14230", | 7 | "https://doi.org/10.48550/arXiv.2107.14230", | ||
| 8 | "https://doi.org/10.48550/arXiv.2111.13386", | 8 | "https://doi.org/10.48550/arXiv.2111.13386", | ||
| 9 | "https://doi.org/10.48550/arXiv.1908.06295", | 9 | "https://doi.org/10.48550/arXiv.1908.06295", | ||
| 10 | "https://doi.org/10.48550/arXiv.2007.11679", | 10 | "https://doi.org/10.48550/arXiv.2007.11679", | ||
| 11 | "https://doi.org/10.48550/arXiv.1905.13445", | 11 | "https://doi.org/10.48550/arXiv.1905.13445", | ||
| 12 | "https://doi.org/10.48550/arXiv.1909.09287", | 12 | "https://doi.org/10.48550/arXiv.1909.09287", | ||
| 13 | "https://doi.org/10.48550/arXiv.1909.13603", | 13 | "https://doi.org/10.48550/arXiv.1909.13603", | ||
| 14 | "https://doi.org/10.48550/arXiv.2302.02858", | 14 | "https://doi.org/10.48550/arXiv.2302.02858", | ||
| 15 | "https://doi.org/10.48550/arXiv.2210.01558", | 15 | "https://doi.org/10.48550/arXiv.2210.01558", | ||
| 16 | "https://doi.org/10.48550/arXiv.2212.14197", | 16 | "https://doi.org/10.48550/arXiv.2212.14197", | ||
| 17 | "https://doi.org/10.48550/arXiv.2107.13152", | 17 | "https://doi.org/10.48550/arXiv.2107.13152", | ||
| 18 | "https://doi.org/10.48550/arXiv.2312.11451", | 18 | "https://doi.org/10.48550/arXiv.2312.11451", | ||
| 19 | "https://doi.org/10.48550/arXiv.2205.00630", | 19 | "https://doi.org/10.48550/arXiv.2205.00630", | ||
| 20 | "https://doi.org/10.48550/arXiv.2103.10339", | 20 | "https://doi.org/10.48550/arXiv.2103.10339", | ||
| 21 | "https://doi.org/10.48550/arXiv.2306.11051", | 21 | "https://doi.org/10.48550/arXiv.2306.11051", | ||
| 22 | "https://doi.org/10.48550/arXiv.2004.12498", | 22 | "https://doi.org/10.48550/arXiv.2004.12498", | ||
| 23 | "https://doi.org/10.1109/ICME52920.2022.9859996", | 23 | "https://doi.org/10.1109/ICME52920.2022.9859996", | ||
| 24 | "https://doi.org/10.48550/arXiv.2309.07425", | 24 | "https://doi.org/10.48550/arXiv.2309.07425", | ||
| 25 | "https://doi.org/10.48550/arXiv.2309.15702", | 25 | "https://doi.org/10.48550/arXiv.2309.15702", | ||
| 26 | "https://doi.org/10.48550/arXiv.2007.15855" | 26 | "https://doi.org/10.48550/arXiv.2007.15855" | ||
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| 28 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 28 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
| 29 | "defined_in": "https://doi.org/10.48550/arXiv.2309.00828", | 29 | "defined_in": "https://doi.org/10.48550/arXiv.2309.00828", | ||
| 30 | "doi": "10.57702/zi852631", | 30 | "doi": "10.57702/zi852631", | ||
| 31 | "doi_date_published": "2024-11-25", | 31 | "doi_date_published": "2024-11-25", | ||
| 32 | "doi_publisher": "TIB", | 32 | "doi_publisher": "TIB", | ||
| 33 | "doi_status": true, | 33 | "doi_status": true, | ||
| 34 | "domain": "https://service.tib.eu/ldmservice", | 34 | "domain": "https://service.tib.eu/ldmservice", | ||
| 35 | "extra_authors": [ | 35 | "extra_authors": [ | ||
| 36 | { | 36 | { | ||
| 37 | "extra_author": "Xin Cao", | 37 | "extra_author": "Xin Cao", | ||
| 38 | "orcid": "" | 38 | "orcid": "" | ||
| 39 | }, | 39 | }, | ||
| 40 | { | 40 | { | ||
| 41 | "extra_author": "Xiaodan Zhang", | 41 | "extra_author": "Xiaodan Zhang", | ||
| 42 | "orcid": "" | 42 | "orcid": "" | ||
| 43 | }, | 43 | }, | ||
| 44 | { | 44 | { | ||
| 45 | "extra_author": "Xingxing Hao", | 45 | "extra_author": "Xingxing Hao", | ||
| 46 | "orcid": "" | 46 | "orcid": "" | ||
| 47 | }, | 47 | }, | ||
| 48 | { | 48 | { | ||
| 49 | "extra_author": "Dekui Wang", | 49 | "extra_author": "Dekui Wang", | ||
| 50 | "orcid": "" | 50 | "orcid": "" | ||
| 51 | }, | 51 | }, | ||
| 52 | { | 52 | { | ||
| 53 | "extra_author": "Ying He", | 53 | "extra_author": "Ying He", | ||
| 54 | "orcid": "" | 54 | "orcid": "" | ||
| 55 | } | 55 | } | ||
| 56 | ], | 56 | ], | ||
| 57 | "groups": [ | 57 | "groups": [ | ||
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| 62 | "image_display_url": "", | 62 | "image_display_url": "", | ||
| 63 | "name": "3d-indoor-scene-understanding", | 63 | "name": "3d-indoor-scene-understanding", | ||
| 64 | "title": "3D Indoor Scene Understanding" | 64 | "title": "3D Indoor Scene Understanding" | ||
| 65 | }, | 65 | }, | ||
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| 70 | "image_display_url": "", | 70 | "image_display_url": "", | ||
| 71 | "name": "3d-indoor-scenes", | 71 | "name": "3d-indoor-scenes", | ||
| 72 | "title": "3D Indoor Scenes" | 72 | "title": "3D Indoor Scenes" | ||
| 73 | }, | 73 | }, | ||
| 74 | { | 74 | { | ||
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| 78 | "image_display_url": "", | 78 | "image_display_url": "", | ||
| 79 | "name": "3d-indoor-spaces", | 79 | "name": "3d-indoor-spaces", | ||
| 80 | "title": "3D Indoor Spaces" | 80 | "title": "3D Indoor Spaces" | ||
| 81 | }, | 81 | }, | ||
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| 86 | "image_display_url": "", | 86 | "image_display_url": "", | ||
| 87 | "name": "3d-instance-segmentation", | 87 | "name": "3d-instance-segmentation", | ||
| 88 | "title": "3D Instance Segmentation" | 88 | "title": "3D Instance Segmentation" | ||
| 89 | }, | 89 | }, | ||
| 90 | { | 90 | { | ||
| 91 | "description": "", | 91 | "description": "", | ||
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| 94 | "image_display_url": "", | 94 | "image_display_url": "", | ||
| 95 | "name": "3d-object-detection", | 95 | "name": "3d-object-detection", | ||
| 96 | "title": "3D Object Detection" | 96 | "title": "3D Object Detection" | ||
| 97 | }, | 97 | }, | ||
| 98 | { | 98 | { | ||
| 99 | "description": "", | 99 | "description": "", | ||
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| 103 | "name": "3d-object-recognition", | 103 | "name": "3d-object-recognition", | ||
| 104 | "title": "3D Object Recognition" | 104 | "title": "3D Object Recognition" | ||
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| 110 | "image_display_url": "", | 110 | "image_display_url": "", | ||
| 111 | "name": "3d-point-clouds", | 111 | "name": "3d-point-clouds", | ||
| 112 | "title": "3D Point Clouds" | 112 | "title": "3D Point Clouds" | ||
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| 120 | "title": "3D Scene Understanding" | 120 | "title": "3D Scene Understanding" | ||
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| 127 | "name": "3d-segmentation", | 127 | "name": "3d-segmentation", | ||
| 128 | "title": "3D Segmentation" | 128 | "title": "3D Segmentation" | ||
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| 143 | "name": "classification", | 143 | "name": "classification", | ||
| 144 | "title": "Classification" | 144 | "title": "Classification" | ||
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| 146 | { | 146 | { | ||
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| 152 | "title": "Computer Vision" | 152 | "title": "Computer Vision" | ||
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| 176 | "title": "Indoor Semantic Segmentation" | 176 | "title": "Indoor Semantic Segmentation" | ||
| 177 | }, | 177 | }, | ||
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| 183 | "name": "point-cloud-segmentation", | 183 | "name": "point-cloud-segmentation", | ||
| 184 | "title": "Point Cloud Segmentation" | 184 | "title": "Point Cloud Segmentation" | ||
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| 192 | "title": "Point Clouds" | 192 | "title": "Point Clouds" | ||
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| 200 | "title": "Scene Segmentation" | 200 | "title": "Scene Segmentation" | ||
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| 207 | "name": "semantic-segmentation", | 207 | "name": "semantic-segmentation", | ||
| 208 | "title": "Semantic Segmentation" | 208 | "title": "Semantic Segmentation" | ||
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| 212 | "isopen": false, | 212 | "isopen": false, | ||
| 213 | "landing_page": "https://s3dis.stanford.edu/", | 213 | "landing_page": "https://s3dis.stanford.edu/", | ||
| 214 | "license_title": null, | 214 | "license_title": null, | ||
| 215 | "link_orkg": "", | 215 | "link_orkg": "", | ||
| 216 | "metadata_created": "2024-11-25T14:45:27.574102", | 216 | "metadata_created": "2024-11-25T14:45:27.574102", | ||
| n | 217 | "metadata_modified": "2024-12-02T17:50:49.051955", | n | 217 | "metadata_modified": "2024-12-02T17:50:50.788902", |
| 218 | "name": "s3dis", | 218 | "name": "s3dis", | ||
| 219 | "notes": "The dataset used in the paper is a real-world 3D point | 219 | "notes": "The dataset used in the paper is a real-world 3D point | ||
| 220 | cloud dataset, which is used for 3D shape classification, part | 220 | cloud dataset, which is used for 3D shape classification, part | ||
| 221 | segmentation, and shape retrieval tasks.", | 221 | segmentation, and shape retrieval tasks.", | ||
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| 225 | "approval_status": "approved", | 225 | "approval_status": "approved", | ||
| 226 | "created": "2024-11-25T12:11:38.292601", | 226 | "created": "2024-11-25T12:11:38.292601", | ||
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| 244 | { | 285 | { | ||
| 245 | "display_name": "3D", | 286 | "display_name": "3D", | ||
| 246 | "id": "c98a3ca2-e5c9-4173-93fb-420e0b48e9d8", | 287 | "id": "c98a3ca2-e5c9-4173-93fb-420e0b48e9d8", | ||
| 247 | "name": "3D", | 288 | "name": "3D", | ||
| 248 | "state": "active", | 289 | "state": "active", | ||
| 249 | "vocabulary_id": null | 290 | "vocabulary_id": null | ||
| 250 | }, | 291 | }, | ||
| 251 | { | 292 | { | ||
| 252 | "display_name": "3D Indoor Scene Understanding", | 293 | "display_name": "3D Indoor Scene Understanding", | ||
| 253 | "id": "cb581899-5746-460a-87a7-f7c25d15a40e", | 294 | "id": "cb581899-5746-460a-87a7-f7c25d15a40e", | ||
| 254 | "name": "3D Indoor Scene Understanding", | 295 | "name": "3D Indoor Scene Understanding", | ||
| 255 | "state": "active", | 296 | "state": "active", | ||
| 256 | "vocabulary_id": null | 297 | "vocabulary_id": null | ||
| 257 | }, | 298 | }, | ||
| 258 | { | 299 | { | ||
| 259 | "display_name": "3D Indoor Spaces", | 300 | "display_name": "3D Indoor Spaces", | ||
| 260 | "id": "d07b9522-61c6-4ce5-bbc6-fa7aaea066b8", | 301 | "id": "d07b9522-61c6-4ce5-bbc6-fa7aaea066b8", | ||
| 261 | "name": "3D Indoor Spaces", | 302 | "name": "3D Indoor Spaces", | ||
| 262 | "state": "active", | 303 | "state": "active", | ||
| 263 | "vocabulary_id": null | 304 | "vocabulary_id": null | ||
| 264 | }, | 305 | }, | ||
| 265 | { | 306 | { | ||
| 266 | "display_name": "3D Instance Segmentation", | 307 | "display_name": "3D Instance Segmentation", | ||
| 267 | "id": "4b4284eb-d2b9-44f3-bd2f-32c104179769", | 308 | "id": "4b4284eb-d2b9-44f3-bd2f-32c104179769", | ||
| 268 | "name": "3D Instance Segmentation", | 309 | "name": "3D Instance Segmentation", | ||
| 269 | "state": "active", | 310 | "state": "active", | ||
| 270 | "vocabulary_id": null | 311 | "vocabulary_id": null | ||
| 271 | }, | 312 | }, | ||
| 272 | { | 313 | { | ||
| 273 | "display_name": "3D Object Detection", | 314 | "display_name": "3D Object Detection", | ||
| 274 | "id": "fb2b0721-3175-4d9d-9481-9032ddee2dfa", | 315 | "id": "fb2b0721-3175-4d9d-9481-9032ddee2dfa", | ||
| 275 | "name": "3D Object Detection", | 316 | "name": "3D Object Detection", | ||
| 276 | "state": "active", | 317 | "state": "active", | ||
| 277 | "vocabulary_id": null | 318 | "vocabulary_id": null | ||
| 278 | }, | 319 | }, | ||
| 279 | { | 320 | { | ||
| 280 | "display_name": "3D Point Clouds", | 321 | "display_name": "3D Point Clouds", | ||
| 281 | "id": "55c31270-45cd-40ec-8846-a614fb63a2a8", | 322 | "id": "55c31270-45cd-40ec-8846-a614fb63a2a8", | ||
| 282 | "name": "3D Point Clouds", | 323 | "name": "3D Point Clouds", | ||
| 283 | "state": "active", | 324 | "state": "active", | ||
| 284 | "vocabulary_id": null | 325 | "vocabulary_id": null | ||
| 285 | }, | 326 | }, | ||
| 286 | { | 327 | { | ||
| 287 | "display_name": "3D Scene Understanding", | 328 | "display_name": "3D Scene Understanding", | ||
| 288 | "id": "9cfd0d9e-9ee3-4a0f-9007-8dc737ac6c90", | 329 | "id": "9cfd0d9e-9ee3-4a0f-9007-8dc737ac6c90", | ||
| 289 | "name": "3D Scene Understanding", | 330 | "name": "3D Scene Understanding", | ||
| 290 | "state": "active", | 331 | "state": "active", | ||
| 291 | "vocabulary_id": null | 332 | "vocabulary_id": null | ||
| 292 | }, | 333 | }, | ||
| 293 | { | 334 | { | ||
| 294 | "display_name": "3D Segmentation", | 335 | "display_name": "3D Segmentation", | ||
| 295 | "id": "4a9a6fdc-66c5-4d47-bdf3-f7c1d1fc51be", | 336 | "id": "4a9a6fdc-66c5-4d47-bdf3-f7c1d1fc51be", | ||
| 296 | "name": "3D Segmentation", | 337 | "name": "3D Segmentation", | ||
| 297 | "state": "active", | 338 | "state": "active", | ||
| 298 | "vocabulary_id": null | 339 | "vocabulary_id": null | ||
| 299 | }, | 340 | }, | ||
| 300 | { | 341 | { | ||
| 301 | "display_name": "3D indoor scenes", | 342 | "display_name": "3D indoor scenes", | ||
| 302 | "id": "f71aa6bd-f05e-4af9-837a-3913fb607730", | 343 | "id": "f71aa6bd-f05e-4af9-837a-3913fb607730", | ||
| 303 | "name": "3D indoor scenes", | 344 | "name": "3D indoor scenes", | ||
| 304 | "state": "active", | 345 | "state": "active", | ||
| 305 | "vocabulary_id": null | 346 | "vocabulary_id": null | ||
| 306 | }, | 347 | }, | ||
| 307 | { | 348 | { | ||
| 308 | "display_name": "3D point cloud", | 349 | "display_name": "3D point cloud", | ||
| 309 | "id": "4a0d0b18-b185-46f5-8434-8be1a98c78c0", | 350 | "id": "4a0d0b18-b185-46f5-8434-8be1a98c78c0", | ||
| 310 | "name": "3D point cloud", | 351 | "name": "3D point cloud", | ||
| 311 | "state": "active", | 352 | "state": "active", | ||
| 312 | "vocabulary_id": null | 353 | "vocabulary_id": null | ||
| 313 | }, | 354 | }, | ||
| 314 | { | 355 | { | ||
| 315 | "display_name": "3D point clouds", | 356 | "display_name": "3D point clouds", | ||
| 316 | "id": "e22aae26-2501-4985-9fc3-736bae572c9e", | 357 | "id": "e22aae26-2501-4985-9fc3-736bae572c9e", | ||
| 317 | "name": "3D point clouds", | 358 | "name": "3D point clouds", | ||
| 318 | "state": "active", | 359 | "state": "active", | ||
| 319 | "vocabulary_id": null | 360 | "vocabulary_id": null | ||
| 320 | }, | 361 | }, | ||
| 321 | { | 362 | { | ||
| 322 | "display_name": "3D segmentation", | 363 | "display_name": "3D segmentation", | ||
| 323 | "id": "9236d069-0f45-421d-abb0-5b68db121a69", | 364 | "id": "9236d069-0f45-421d-abb0-5b68db121a69", | ||
| 324 | "name": "3D segmentation", | 365 | "name": "3D segmentation", | ||
| 325 | "state": "active", | 366 | "state": "active", | ||
| 326 | "vocabulary_id": null | 367 | "vocabulary_id": null | ||
| 327 | }, | 368 | }, | ||
| 328 | { | 369 | { | ||
| 329 | "display_name": "Classification", | 370 | "display_name": "Classification", | ||
| 330 | "id": "cc82e2f5-be18-4e27-9bd8-0cb307b8a455", | 371 | "id": "cc82e2f5-be18-4e27-9bd8-0cb307b8a455", | ||
| 331 | "name": "Classification", | 372 | "name": "Classification", | ||
| 332 | "state": "active", | 373 | "state": "active", | ||
| 333 | "vocabulary_id": null | 374 | "vocabulary_id": null | ||
| 334 | }, | 375 | }, | ||
| 335 | { | 376 | { | ||
| 336 | "display_name": "Computer Vision", | 377 | "display_name": "Computer Vision", | ||
| 337 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | 378 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | ||
| 338 | "name": "Computer Vision", | 379 | "name": "Computer Vision", | ||
| 339 | "state": "active", | 380 | "state": "active", | ||
| 340 | "vocabulary_id": null | 381 | "vocabulary_id": null | ||
| 341 | }, | 382 | }, | ||
| 342 | { | 383 | { | ||
| 343 | "display_name": "Gaussian Processes", | 384 | "display_name": "Gaussian Processes", | ||
| 344 | "id": "ad3b4249-bcd5-49f2-98f7-974eaadcb46f", | 385 | "id": "ad3b4249-bcd5-49f2-98f7-974eaadcb46f", | ||
| 345 | "name": "Gaussian Processes", | 386 | "name": "Gaussian Processes", | ||
| 346 | "state": "active", | 387 | "state": "active", | ||
| 347 | "vocabulary_id": null | 388 | "vocabulary_id": null | ||
| 348 | }, | 389 | }, | ||
| 349 | { | 390 | { | ||
| 350 | "display_name": "Indoor Scene Understanding", | 391 | "display_name": "Indoor Scene Understanding", | ||
| 351 | "id": "a8ea8f4b-57e4-4976-8014-1efd58e75334", | 392 | "id": "a8ea8f4b-57e4-4976-8014-1efd58e75334", | ||
| 352 | "name": "Indoor Scene Understanding", | 393 | "name": "Indoor Scene Understanding", | ||
| 353 | "state": "active", | 394 | "state": "active", | ||
| 354 | "vocabulary_id": null | 395 | "vocabulary_id": null | ||
| 355 | }, | 396 | }, | ||
| 356 | { | 397 | { | ||
| 357 | "display_name": "Indoor Scenes", | 398 | "display_name": "Indoor Scenes", | ||
| 358 | "id": "347c5737-e536-45b4-8044-796b0a7dc8f4", | 399 | "id": "347c5737-e536-45b4-8044-796b0a7dc8f4", | ||
| 359 | "name": "Indoor Scenes", | 400 | "name": "Indoor Scenes", | ||
| 360 | "state": "active", | 401 | "state": "active", | ||
| 361 | "vocabulary_id": null | 402 | "vocabulary_id": null | ||
| 362 | }, | 403 | }, | ||
| 363 | { | 404 | { | ||
| 364 | "display_name": "Instance Segmentation", | 405 | "display_name": "Instance Segmentation", | ||
| 365 | "id": "b58d8dfe-1216-401d-8a2a-ceb09e07a013", | 406 | "id": "b58d8dfe-1216-401d-8a2a-ceb09e07a013", | ||
| 366 | "name": "Instance Segmentation", | 407 | "name": "Instance Segmentation", | ||
| 367 | "state": "active", | 408 | "state": "active", | ||
| 368 | "vocabulary_id": null | 409 | "vocabulary_id": null | ||
| 369 | }, | 410 | }, | ||
| 370 | { | 411 | { | ||
| 371 | "display_name": "Object Classi\ufb01cation", | 412 | "display_name": "Object Classi\ufb01cation", | ||
| 372 | "id": "fa16e756-2685-4dc4-8d0b-42f1f0d7676b", | 413 | "id": "fa16e756-2685-4dc4-8d0b-42f1f0d7676b", | ||
| 373 | "name": "Object Classi\ufb01cation", | 414 | "name": "Object Classi\ufb01cation", | ||
| 374 | "state": "active", | 415 | "state": "active", | ||
| 375 | "vocabulary_id": null | 416 | "vocabulary_id": null | ||
| 376 | }, | 417 | }, | ||
| 377 | { | 418 | { | ||
| 378 | "display_name": "Point Cloud", | 419 | "display_name": "Point Cloud", | ||
| 379 | "id": "23509753-62ca-44b6-adcc-aa97e99d8cee", | 420 | "id": "23509753-62ca-44b6-adcc-aa97e99d8cee", | ||
| 380 | "name": "Point Cloud", | 421 | "name": "Point Cloud", | ||
| 381 | "state": "active", | 422 | "state": "active", | ||
| 382 | "vocabulary_id": null | 423 | "vocabulary_id": null | ||
| 383 | }, | 424 | }, | ||
| 384 | { | 425 | { | ||
| 385 | "display_name": "Point Cloud Instance Segmentation", | 426 | "display_name": "Point Cloud Instance Segmentation", | ||
| 386 | "id": "7523f4b0-1f9f-4e9e-9a4d-8eed5350addc", | 427 | "id": "7523f4b0-1f9f-4e9e-9a4d-8eed5350addc", | ||
| 387 | "name": "Point Cloud Instance Segmentation", | 428 | "name": "Point Cloud Instance Segmentation", | ||
| 388 | "state": "active", | 429 | "state": "active", | ||
| 389 | "vocabulary_id": null | 430 | "vocabulary_id": null | ||
| 390 | }, | 431 | }, | ||
| 391 | { | 432 | { | ||
| 392 | "display_name": "Point Clouds", | 433 | "display_name": "Point Clouds", | ||
| 393 | "id": "cd5e5c68-6deb-4e83-b810-0756f3961446", | 434 | "id": "cd5e5c68-6deb-4e83-b810-0756f3961446", | ||
| 394 | "name": "Point Clouds", | 435 | "name": "Point Clouds", | ||
| 395 | "state": "active", | 436 | "state": "active", | ||
| 396 | "vocabulary_id": null | 437 | "vocabulary_id": null | ||
| 397 | }, | 438 | }, | ||
| 398 | { | 439 | { | ||
| 399 | "display_name": "S3DIS", | 440 | "display_name": "S3DIS", | ||
| 400 | "id": "097a007e-dec3-4c44-887f-7bf82079e612", | 441 | "id": "097a007e-dec3-4c44-887f-7bf82079e612", | ||
| 401 | "name": "S3DIS", | 442 | "name": "S3DIS", | ||
| 402 | "state": "active", | 443 | "state": "active", | ||
| 403 | "vocabulary_id": null | 444 | "vocabulary_id": null | ||
| 404 | }, | 445 | }, | ||
| 405 | { | 446 | { | ||
| 406 | "display_name": "Scene Understanding", | 447 | "display_name": "Scene Understanding", | ||
| 407 | "id": "d066cee5-d8a2-4d28-ba93-a32fa6a30b26", | 448 | "id": "d066cee5-d8a2-4d28-ba93-a32fa6a30b26", | ||
| 408 | "name": "Scene Understanding", | 449 | "name": "Scene Understanding", | ||
| 409 | "state": "active", | 450 | "state": "active", | ||
| 410 | "vocabulary_id": null | 451 | "vocabulary_id": null | ||
| 411 | }, | 452 | }, | ||
| 412 | { | 453 | { | ||
| 413 | "display_name": "Segmentation", | 454 | "display_name": "Segmentation", | ||
| 414 | "id": "afba543e-f91f-4800-834e-77535c9e8dac", | 455 | "id": "afba543e-f91f-4800-834e-77535c9e8dac", | ||
| 415 | "name": "Segmentation", | 456 | "name": "Segmentation", | ||
| 416 | "state": "active", | 457 | "state": "active", | ||
| 417 | "vocabulary_id": null | 458 | "vocabulary_id": null | ||
| 418 | }, | 459 | }, | ||
| 419 | { | 460 | { | ||
| 420 | "display_name": "Semantic Segmentation", | 461 | "display_name": "Semantic Segmentation", | ||
| 421 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | 462 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | ||
| 422 | "name": "Semantic Segmentation", | 463 | "name": "Semantic Segmentation", | ||
| 423 | "state": "active", | 464 | "state": "active", | ||
| 424 | "vocabulary_id": null | 465 | "vocabulary_id": null | ||
| 425 | }, | 466 | }, | ||
| 426 | { | 467 | { | ||
| 427 | "display_name": "classification", | 468 | "display_name": "classification", | ||
| 428 | "id": "30b96a8e-ded8-465e-9a77-e4163624d903", | 469 | "id": "30b96a8e-ded8-465e-9a77-e4163624d903", | ||
| 429 | "name": "classification", | 470 | "name": "classification", | ||
| 430 | "state": "active", | 471 | "state": "active", | ||
| 431 | "vocabulary_id": null | 472 | "vocabulary_id": null | ||
| 432 | }, | 473 | }, | ||
| 433 | { | 474 | { | ||
| 434 | "display_name": "convexity-based segmentation", | 475 | "display_name": "convexity-based segmentation", | ||
| 435 | "id": "e684a0f9-f52b-4539-8524-74b72a1b5115", | 476 | "id": "e684a0f9-f52b-4539-8524-74b72a1b5115", | ||
| 436 | "name": "convexity-based segmentation", | 477 | "name": "convexity-based segmentation", | ||
| 437 | "state": "active", | 478 | "state": "active", | ||
| 438 | "vocabulary_id": null | 479 | "vocabulary_id": null | ||
| 439 | }, | 480 | }, | ||
| 440 | { | 481 | { | ||
| 441 | "display_name": "indoor environment", | 482 | "display_name": "indoor environment", | ||
| 442 | "id": "7c2b40f9-6ea6-4de4-9bf1-336123bd5689", | 483 | "id": "7c2b40f9-6ea6-4de4-9bf1-336123bd5689", | ||
| 443 | "name": "indoor environment", | 484 | "name": "indoor environment", | ||
| 444 | "state": "active", | 485 | "state": "active", | ||
| 445 | "vocabulary_id": null | 486 | "vocabulary_id": null | ||
| 446 | }, | 487 | }, | ||
| 447 | { | 488 | { | ||
| 448 | "display_name": "indoor point clouds", | 489 | "display_name": "indoor point clouds", | ||
| 449 | "id": "ef1a329f-c649-4c71-8928-4fa73a406cd2", | 490 | "id": "ef1a329f-c649-4c71-8928-4fa73a406cd2", | ||
| 450 | "name": "indoor point clouds", | 491 | "name": "indoor point clouds", | ||
| 451 | "state": "active", | 492 | "state": "active", | ||
| 452 | "vocabulary_id": null | 493 | "vocabulary_id": null | ||
| 453 | }, | 494 | }, | ||
| 454 | { | 495 | { | ||
| 455 | "display_name": "indoor scene understanding", | 496 | "display_name": "indoor scene understanding", | ||
| 456 | "id": "09081b59-cdf6-41ee-9ce4-939ea1045586", | 497 | "id": "09081b59-cdf6-41ee-9ce4-939ea1045586", | ||
| 457 | "name": "indoor scene understanding", | 498 | "name": "indoor scene understanding", | ||
| 458 | "state": "active", | 499 | "state": "active", | ||
| 459 | "vocabulary_id": null | 500 | "vocabulary_id": null | ||
| 460 | }, | 501 | }, | ||
| 461 | { | 502 | { | ||
| 462 | "display_name": "instance segmentation", | 503 | "display_name": "instance segmentation", | ||
| 463 | "id": "e74e609d-6e81-4b83-b74e-fa3dd8f185f4", | 504 | "id": "e74e609d-6e81-4b83-b74e-fa3dd8f185f4", | ||
| 464 | "name": "instance segmentation", | 505 | "name": "instance segmentation", | ||
| 465 | "state": "active", | 506 | "state": "active", | ||
| 466 | "vocabulary_id": null | 507 | "vocabulary_id": null | ||
| 467 | }, | 508 | }, | ||
| 468 | { | 509 | { | ||
| 469 | "display_name": "object recognition", | 510 | "display_name": "object recognition", | ||
| 470 | "id": "cbac3f3d-b235-44b0-8bfb-30bf00e44b8c", | 511 | "id": "cbac3f3d-b235-44b0-8bfb-30bf00e44b8c", | ||
| 471 | "name": "object recognition", | 512 | "name": "object recognition", | ||
| 472 | "state": "active", | 513 | "state": "active", | ||
| 473 | "vocabulary_id": null | 514 | "vocabulary_id": null | ||
| 474 | }, | 515 | }, | ||
| 475 | { | 516 | { | ||
| 476 | "display_name": "point cloud", | 517 | "display_name": "point cloud", | ||
| 477 | "id": "fcb968fe-38b8-4b04-a049-e69bcf7b9f19", | 518 | "id": "fcb968fe-38b8-4b04-a049-e69bcf7b9f19", | ||
| 478 | "name": "point cloud", | 519 | "name": "point cloud", | ||
| 479 | "state": "active", | 520 | "state": "active", | ||
| 480 | "vocabulary_id": null | 521 | "vocabulary_id": null | ||
| 481 | }, | 522 | }, | ||
| 482 | { | 523 | { | ||
| 483 | "display_name": "point cloud data", | 524 | "display_name": "point cloud data", | ||
| 484 | "id": "2072985c-8377-4acd-9d25-57a4830b9664", | 525 | "id": "2072985c-8377-4acd-9d25-57a4830b9664", | ||
| 485 | "name": "point cloud data", | 526 | "name": "point cloud data", | ||
| 486 | "state": "active", | 527 | "state": "active", | ||
| 487 | "vocabulary_id": null | 528 | "vocabulary_id": null | ||
| 488 | }, | 529 | }, | ||
| 489 | { | 530 | { | ||
| 490 | "display_name": "scene segmentation", | 531 | "display_name": "scene segmentation", | ||
| 491 | "id": "94db0e66-2f29-4c88-bc8d-63001457117a", | 532 | "id": "94db0e66-2f29-4c88-bc8d-63001457117a", | ||
| 492 | "name": "scene segmentation", | 533 | "name": "scene segmentation", | ||
| 493 | "state": "active", | 534 | "state": "active", | ||
| 494 | "vocabulary_id": null | 535 | "vocabulary_id": null | ||
| 495 | }, | 536 | }, | ||
| 496 | { | 537 | { | ||
| 497 | "display_name": "scene understanding", | 538 | "display_name": "scene understanding", | ||
| 498 | "id": "d56fbd48-e5ed-410d-8c4f-e698955e28fa", | 539 | "id": "d56fbd48-e5ed-410d-8c4f-e698955e28fa", | ||
| 499 | "name": "scene understanding", | 540 | "name": "scene understanding", | ||
| 500 | "state": "active", | 541 | "state": "active", | ||
| 501 | "vocabulary_id": null | 542 | "vocabulary_id": null | ||
| 502 | }, | 543 | }, | ||
| 503 | { | 544 | { | ||
| 504 | "display_name": "semantic labels", | 545 | "display_name": "semantic labels", | ||
| 505 | "id": "bb5e3c7e-238d-4740-9b9b-adcfee58feea", | 546 | "id": "bb5e3c7e-238d-4740-9b9b-adcfee58feea", | ||
| 506 | "name": "semantic labels", | 547 | "name": "semantic labels", | ||
| 507 | "state": "active", | 548 | "state": "active", | ||
| 508 | "vocabulary_id": null | 549 | "vocabulary_id": null | ||
| 509 | }, | 550 | }, | ||
| 510 | { | 551 | { | ||
| 511 | "display_name": "semantic segmentation", | 552 | "display_name": "semantic segmentation", | ||
| 512 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | 553 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | ||
| 513 | "name": "semantic segmentation", | 554 | "name": "semantic segmentation", | ||
| 514 | "state": "active", | 555 | "state": "active", | ||
| 515 | "vocabulary_id": null | 556 | "vocabulary_id": null | ||
| 516 | } | 557 | } | ||
| 517 | ], | 558 | ], | ||
| 518 | "title": "S3DIS", | 559 | "title": "S3DIS", | ||
| 519 | "type": "dataset", | 560 | "type": "dataset", | ||
| 520 | "version": "" | 561 | "version": "" | ||
| 521 | } | 562 | } |