Changes
On December 2, 2024 at 5:56:20 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in SUN RGB-D -
Changed value of field
doi_date_published
to2024-12-02
in SUN RGB-D -
Added resource Original Metadata to SUN RGB-D
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Shuran Song", | 3 | "author": "Shuran Song", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2201.08377", | 6 | "https://doi.org/10.48550/arXiv.2201.08377", | ||
7 | "https://doi.org/10.48550/arXiv.2302.02858", | 7 | "https://doi.org/10.48550/arXiv.2302.02858", | ||
8 | "https://doi.org/10.48550/arXiv.2105.06461", | 8 | "https://doi.org/10.48550/arXiv.2105.06461", | ||
9 | "https://doi.org/10.48550/arXiv.2203.10856", | 9 | "https://doi.org/10.48550/arXiv.2203.10856", | ||
10 | "https://doi.org/10.48550/arXiv.2302.06148", | 10 | "https://doi.org/10.48550/arXiv.2302.06148", | ||
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12 | "https://doi.org/10.48550/arXiv.2303.17559", | 12 | "https://doi.org/10.48550/arXiv.2303.17559", | ||
13 | "https://doi.org/10.48550/arXiv.1810.03410", | 13 | "https://doi.org/10.48550/arXiv.1810.03410", | ||
14 | "https://doi.org/10.48550/arXiv.1701.07122" | 14 | "https://doi.org/10.48550/arXiv.1701.07122" | ||
15 | ], | 15 | ], | ||
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17 | "defined_in": "https://doi.org/10.48550/arXiv.2309.01624", | 17 | "defined_in": "https://doi.org/10.48550/arXiv.2309.01624", | ||
18 | "doi": "10.57702/ppmjecld", | 18 | "doi": "10.57702/ppmjecld", | ||
n | 19 | "doi_date_published": null, | n | 19 | "doi_date_published": "2024-12-02", |
20 | "doi_publisher": "TIB", | 20 | "doi_publisher": "TIB", | ||
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22 | "domain": "https://service.tib.eu/ldmservice", | 22 | "domain": "https://service.tib.eu/ldmservice", | ||
23 | "extra_authors": [ | 23 | "extra_authors": [ | ||
24 | { | 24 | { | ||
25 | "extra_author": "Samuel P. Lichtenberg", | 25 | "extra_author": "Samuel P. Lichtenberg", | ||
26 | "orcid": "" | 26 | "orcid": "" | ||
27 | }, | 27 | }, | ||
28 | { | 28 | { | ||
29 | "extra_author": "Jianxiong Xiao", | 29 | "extra_author": "Jianxiong Xiao", | ||
30 | "orcid": "" | 30 | "orcid": "" | ||
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33 | "groups": [ | 33 | "groups": [ | ||
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38 | "image_display_url": "", | 38 | "image_display_url": "", | ||
39 | "name": "3d-data-recognition", | 39 | "name": "3d-data-recognition", | ||
40 | "title": "3D Data Recognition" | 40 | "title": "3D Data Recognition" | ||
41 | }, | 41 | }, | ||
42 | { | 42 | { | ||
43 | "description": "", | 43 | "description": "", | ||
44 | "display_name": "3D Object Detection", | 44 | "display_name": "3D Object Detection", | ||
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46 | "image_display_url": "", | 46 | "image_display_url": "", | ||
47 | "name": "3d-object-detection", | 47 | "name": "3d-object-detection", | ||
48 | "title": "3D Object Detection" | 48 | "title": "3D Object Detection" | ||
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51 | "description": "", | 51 | "description": "", | ||
52 | "display_name": "3D Object Recognition", | 52 | "display_name": "3D Object Recognition", | ||
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54 | "image_display_url": "", | 54 | "image_display_url": "", | ||
55 | "name": "3d-object-recognition", | 55 | "name": "3d-object-recognition", | ||
56 | "title": "3D Object Recognition" | 56 | "title": "3D Object Recognition" | ||
57 | }, | 57 | }, | ||
58 | { | 58 | { | ||
59 | "description": "", | 59 | "description": "", | ||
60 | "display_name": "Computer Vision", | 60 | "display_name": "Computer Vision", | ||
61 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | 61 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||
62 | "image_display_url": "", | 62 | "image_display_url": "", | ||
63 | "name": "computer-vision", | 63 | "name": "computer-vision", | ||
64 | "title": "Computer Vision" | 64 | "title": "Computer Vision" | ||
65 | }, | 65 | }, | ||
66 | { | 66 | { | ||
67 | "description": "", | 67 | "description": "", | ||
68 | "display_name": "Depth Estimation", | 68 | "display_name": "Depth Estimation", | ||
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70 | "image_display_url": "", | 70 | "image_display_url": "", | ||
71 | "name": "depth-estimation", | 71 | "name": "depth-estimation", | ||
72 | "title": "Depth Estimation" | 72 | "title": "Depth Estimation" | ||
73 | }, | 73 | }, | ||
74 | { | 74 | { | ||
75 | "description": "", | 75 | "description": "", | ||
76 | "display_name": "Image Segmentation", | 76 | "display_name": "Image Segmentation", | ||
77 | "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", | 77 | "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", | ||
78 | "image_display_url": "", | 78 | "image_display_url": "", | ||
79 | "name": "image-segmentation", | 79 | "name": "image-segmentation", | ||
80 | "title": "Image Segmentation" | 80 | "title": "Image Segmentation" | ||
81 | }, | 81 | }, | ||
82 | { | 82 | { | ||
83 | "description": "", | 83 | "description": "", | ||
84 | "display_name": "Indoor Scene Understanding", | 84 | "display_name": "Indoor Scene Understanding", | ||
85 | "id": "6f671b4b-0b4d-4fe1-9769-e31ab164e205", | 85 | "id": "6f671b4b-0b4d-4fe1-9769-e31ab164e205", | ||
86 | "image_display_url": "", | 86 | "image_display_url": "", | ||
87 | "name": "indoor-scene-understanding", | 87 | "name": "indoor-scene-understanding", | ||
88 | "title": "Indoor Scene Understanding" | 88 | "title": "Indoor Scene Understanding" | ||
89 | }, | 89 | }, | ||
90 | { | 90 | { | ||
91 | "description": "", | 91 | "description": "", | ||
92 | "display_name": "Object Detection", | 92 | "display_name": "Object Detection", | ||
93 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | 93 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | ||
94 | "image_display_url": "", | 94 | "image_display_url": "", | ||
95 | "name": "object-detection", | 95 | "name": "object-detection", | ||
96 | "title": "Object Detection" | 96 | "title": "Object Detection" | ||
97 | }, | 97 | }, | ||
98 | { | 98 | { | ||
99 | "description": "", | 99 | "description": "", | ||
100 | "display_name": "RGB-D Images", | 100 | "display_name": "RGB-D Images", | ||
101 | "id": "99ff109e-9cee-47d4-b9d9-53764396dded", | 101 | "id": "99ff109e-9cee-47d4-b9d9-53764396dded", | ||
102 | "image_display_url": "", | 102 | "image_display_url": "", | ||
103 | "name": "rgb-d-images", | 103 | "name": "rgb-d-images", | ||
104 | "title": "RGB-D Images" | 104 | "title": "RGB-D Images" | ||
105 | }, | 105 | }, | ||
106 | { | 106 | { | ||
107 | "description": "", | 107 | "description": "", | ||
108 | "display_name": "RGB-D Scene Understanding", | 108 | "display_name": "RGB-D Scene Understanding", | ||
109 | "id": "b8f7920c-61d7-452e-87fc-bcda96144e82", | 109 | "id": "b8f7920c-61d7-452e-87fc-bcda96144e82", | ||
110 | "image_display_url": "", | 110 | "image_display_url": "", | ||
111 | "name": "rgb-d-scene-understanding", | 111 | "name": "rgb-d-scene-understanding", | ||
112 | "title": "RGB-D Scene Understanding" | 112 | "title": "RGB-D Scene Understanding" | ||
113 | }, | 113 | }, | ||
114 | { | 114 | { | ||
115 | "description": "", | 115 | "description": "", | ||
116 | "display_name": "RGBD Images", | 116 | "display_name": "RGBD Images", | ||
117 | "id": "565d9839-554c-4543-981b-74eb84ec2404", | 117 | "id": "565d9839-554c-4543-981b-74eb84ec2404", | ||
118 | "image_display_url": "", | 118 | "image_display_url": "", | ||
119 | "name": "rgbd-images", | 119 | "name": "rgbd-images", | ||
120 | "title": "RGBD Images" | 120 | "title": "RGBD Images" | ||
121 | }, | 121 | }, | ||
122 | { | 122 | { | ||
123 | "description": "", | 123 | "description": "", | ||
124 | "display_name": "Scene Understanding", | 124 | "display_name": "Scene Understanding", | ||
125 | "id": "f3a9e19d-4b53-4b7d-bd4b-65c69132188a", | 125 | "id": "f3a9e19d-4b53-4b7d-bd4b-65c69132188a", | ||
126 | "image_display_url": "", | 126 | "image_display_url": "", | ||
127 | "name": "scene-understanding", | 127 | "name": "scene-understanding", | ||
128 | "title": "Scene Understanding" | 128 | "title": "Scene Understanding" | ||
129 | } | 129 | } | ||
130 | ], | 130 | ], | ||
131 | "id": "fa0cc5a9-bde0-4354-8b04-17deda37067e", | 131 | "id": "fa0cc5a9-bde0-4354-8b04-17deda37067e", | ||
132 | "isopen": false, | 132 | "isopen": false, | ||
133 | "landing_page": "http://cs.umiacs.umd.edu/~vlad/rgbd-dataset/", | 133 | "landing_page": "http://cs.umiacs.umd.edu/~vlad/rgbd-dataset/", | ||
134 | "license_title": null, | 134 | "license_title": null, | ||
135 | "link_orkg": "", | 135 | "link_orkg": "", | ||
136 | "metadata_created": "2024-12-02T17:56:18.392301", | 136 | "metadata_created": "2024-12-02T17:56:18.392301", | ||
n | 137 | "metadata_modified": "2024-12-02T17:56:18.392307", | n | 137 | "metadata_modified": "2024-12-02T17:56:18.811702", |
138 | "name": "sun-rgb-d", | 138 | "name": "sun-rgb-d", | ||
139 | "notes": "RGB-D scene recognition approaches often train two | 139 | "notes": "RGB-D scene recognition approaches often train two | ||
140 | standalone backbones for RGB and depth modalities with the same Places | 140 | standalone backbones for RGB and depth modalities with the same Places | ||
141 | or ImageNet pre-training. However, the pre-trained depth network is | 141 | or ImageNet pre-training. However, the pre-trained depth network is | ||
142 | still biased by RGB-based models which may result in a suboptimal | 142 | still biased by RGB-based models which may result in a suboptimal | ||
143 | solution.", | 143 | solution.", | ||
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145 | "num_tags": 23, | 145 | "num_tags": 23, | ||
146 | "organization": { | 146 | "organization": { | ||
147 | "approval_status": "approved", | 147 | "approval_status": "approved", | ||
148 | "created": "2024-11-25T12:11:38.292601", | 148 | "created": "2024-11-25T12:11:38.292601", | ||
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151 | "image_url": "", | 151 | "image_url": "", | ||
152 | "is_organization": true, | 152 | "is_organization": true, | ||
153 | "name": "no-organization", | 153 | "name": "no-organization", | ||
154 | "state": "active", | 154 | "state": "active", | ||
155 | "title": "No Organization", | 155 | "title": "No Organization", | ||
156 | "type": "organization" | 156 | "type": "organization" | ||
157 | }, | 157 | }, | ||
158 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 158 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
159 | "private": false, | 159 | "private": false, | ||
160 | "relationships_as_object": [], | 160 | "relationships_as_object": [], | ||
161 | "relationships_as_subject": [], | 161 | "relationships_as_subject": [], | ||
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163 | { | ||||
164 | "cache_last_updated": null, | ||||
165 | "cache_url": null, | ||||
166 | "created": "2024-12-02T18:38:42", | ||||
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169 | "dcterms:accessRights", | ||||
170 | "dcterms:creator", | ||||
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172 | "dcterms:issued", | ||||
173 | "dcterms:language", | ||||
174 | "dcterms:identifier", | ||||
175 | "dcat:theme", | ||||
176 | "dcterms:type", | ||||
177 | "dcat:keyword", | ||||
178 | "dcat:landingPage", | ||||
179 | "dcterms:hasVersion", | ||||
180 | "dcterms:format", | ||||
181 | "mls:task", | ||||
182 | "datacite:isDescribedBy" | ||||
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184 | "description": "The json representation of the dataset with its | ||||
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186 | "format": "JSON", | ||||
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193 | "name": "Original Metadata", | ||||
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198 | "state": "active", | ||||
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163 | "services_used_list": "", | 204 | "services_used_list": "", | ||
164 | "state": "active", | 205 | "state": "active", | ||
165 | "tags": [ | 206 | "tags": [ | ||
166 | { | 207 | { | ||
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194 | { | 235 | { | ||
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198 | "state": "active", | 239 | "state": "active", | ||
199 | "vocabulary_id": null | 240 | "vocabulary_id": null | ||
200 | }, | 241 | }, | ||
201 | { | 242 | { | ||
202 | "display_name": "Indoor Scene", | 243 | "display_name": "Indoor Scene", | ||
203 | "id": "883d8d96-9c1f-41fa-98bc-34cffcf5ea00", | 244 | "id": "883d8d96-9c1f-41fa-98bc-34cffcf5ea00", | ||
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214 | }, | 255 | }, | ||
215 | { | 256 | { | ||
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217 | "id": "6a4e0b0a-637f-41ee-a647-8af2e035b203", | 258 | "id": "6a4e0b0a-637f-41ee-a647-8af2e035b203", | ||
218 | "name": "Object Recognition", | 259 | "name": "Object Recognition", | ||
219 | "state": "active", | 260 | "state": "active", | ||
220 | "vocabulary_id": null | 261 | "vocabulary_id": null | ||
221 | }, | 262 | }, | ||
222 | { | 263 | { | ||
223 | "display_name": "Point Clouds", | 264 | "display_name": "Point Clouds", | ||
224 | "id": "cd5e5c68-6deb-4e83-b810-0756f3961446", | 265 | "id": "cd5e5c68-6deb-4e83-b810-0756f3961446", | ||
225 | "name": "Point Clouds", | 266 | "name": "Point Clouds", | ||
226 | "state": "active", | 267 | "state": "active", | ||
227 | "vocabulary_id": null | 268 | "vocabulary_id": null | ||
228 | }, | 269 | }, | ||
229 | { | 270 | { | ||
230 | "display_name": "RGB and depth images", | 271 | "display_name": "RGB and depth images", | ||
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232 | "name": "RGB and depth images", | 273 | "name": "RGB and depth images", | ||
233 | "state": "active", | 274 | "state": "active", | ||
234 | "vocabulary_id": null | 275 | "vocabulary_id": null | ||
235 | }, | 276 | }, | ||
236 | { | 277 | { | ||
237 | "display_name": "RGB-D", | 278 | "display_name": "RGB-D", | ||
238 | "id": "b4388a5d-d31a-45b3-bd20-55ea8c48a7be", | 279 | "id": "b4388a5d-d31a-45b3-bd20-55ea8c48a7be", | ||
239 | "name": "RGB-D", | 280 | "name": "RGB-D", | ||
240 | "state": "active", | 281 | "state": "active", | ||
241 | "vocabulary_id": null | 282 | "vocabulary_id": null | ||
242 | }, | 283 | }, | ||
243 | { | 284 | { | ||
244 | "display_name": "RGB-D Data", | 285 | "display_name": "RGB-D Data", | ||
245 | "id": "379fa468-7df2-443c-be93-5b8096b3ae27", | 286 | "id": "379fa468-7df2-443c-be93-5b8096b3ae27", | ||
246 | "name": "RGB-D Data", | 287 | "name": "RGB-D Data", | ||
247 | "state": "active", | 288 | "state": "active", | ||
248 | "vocabulary_id": null | 289 | "vocabulary_id": null | ||
249 | }, | 290 | }, | ||
250 | { | 291 | { | ||
251 | "display_name": "RGB-D Images", | 292 | "display_name": "RGB-D Images", | ||
252 | "id": "06d030ad-e824-4170-9e14-baca54959f49", | 293 | "id": "06d030ad-e824-4170-9e14-baca54959f49", | ||
253 | "name": "RGB-D Images", | 294 | "name": "RGB-D Images", | ||
254 | "state": "active", | 295 | "state": "active", | ||
255 | "vocabulary_id": null | 296 | "vocabulary_id": null | ||
256 | }, | 297 | }, | ||
257 | { | 298 | { | ||
258 | "display_name": "RGB-D images", | 299 | "display_name": "RGB-D images", | ||
259 | "id": "0142224b-2a4c-41f0-b175-f8010e77c556", | 300 | "id": "0142224b-2a4c-41f0-b175-f8010e77c556", | ||
260 | "name": "RGB-D images", | 301 | "name": "RGB-D images", | ||
261 | "state": "active", | 302 | "state": "active", | ||
262 | "vocabulary_id": null | 303 | "vocabulary_id": null | ||
263 | }, | 304 | }, | ||
264 | { | 305 | { | ||
265 | "display_name": "RGBD images", | 306 | "display_name": "RGBD images", | ||
266 | "id": "6edec8c5-5ca0-42ef-8aeb-0312496f7646", | 307 | "id": "6edec8c5-5ca0-42ef-8aeb-0312496f7646", | ||
267 | "name": "RGBD images", | 308 | "name": "RGBD images", | ||
268 | "state": "active", | 309 | "state": "active", | ||
269 | "vocabulary_id": null | 310 | "vocabulary_id": null | ||
270 | }, | 311 | }, | ||
271 | { | 312 | { | ||
272 | "display_name": "SUN RGB-D", | 313 | "display_name": "SUN RGB-D", | ||
273 | "id": "6dac2eab-75f2-42ec-ac95-45c313d6e2ae", | 314 | "id": "6dac2eab-75f2-42ec-ac95-45c313d6e2ae", | ||
274 | "name": "SUN RGB-D", | 315 | "name": "SUN RGB-D", | ||
275 | "state": "active", | 316 | "state": "active", | ||
276 | "vocabulary_id": null | 317 | "vocabulary_id": null | ||
277 | }, | 318 | }, | ||
278 | { | 319 | { | ||
279 | "display_name": "Scene Understanding", | 320 | "display_name": "Scene Understanding", | ||
280 | "id": "d066cee5-d8a2-4d28-ba93-a32fa6a30b26", | 321 | "id": "d066cee5-d8a2-4d28-ba93-a32fa6a30b26", | ||
281 | "name": "Scene Understanding", | 322 | "name": "Scene Understanding", | ||
282 | "state": "active", | 323 | "state": "active", | ||
283 | "vocabulary_id": null | 324 | "vocabulary_id": null | ||
284 | }, | 325 | }, | ||
285 | { | 326 | { | ||
286 | "display_name": "Semantic Segmentation", | 327 | "display_name": "Semantic Segmentation", | ||
287 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | 328 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | ||
288 | "name": "Semantic Segmentation", | 329 | "name": "Semantic Segmentation", | ||
289 | "state": "active", | 330 | "state": "active", | ||
290 | "vocabulary_id": null | 331 | "vocabulary_id": null | ||
291 | }, | 332 | }, | ||
292 | { | 333 | { | ||
293 | "display_name": "depth estimation", | 334 | "display_name": "depth estimation", | ||
294 | "id": "3c08a798-cec3-4682-a668-4f95d6d8ad18", | 335 | "id": "3c08a798-cec3-4682-a668-4f95d6d8ad18", | ||
295 | "name": "depth estimation", | 336 | "name": "depth estimation", | ||
296 | "state": "active", | 337 | "state": "active", | ||
297 | "vocabulary_id": null | 338 | "vocabulary_id": null | ||
298 | }, | 339 | }, | ||
299 | { | 340 | { | ||
300 | "display_name": "image segmentation", | 341 | "display_name": "image segmentation", | ||
301 | "id": "7eaed78e-c73a-4929-a8c9-60265069f59a", | 342 | "id": "7eaed78e-c73a-4929-a8c9-60265069f59a", | ||
302 | "name": "image segmentation", | 343 | "name": "image segmentation", | ||
303 | "state": "active", | 344 | "state": "active", | ||
304 | "vocabulary_id": null | 345 | "vocabulary_id": null | ||
305 | }, | 346 | }, | ||
306 | { | 347 | { | ||
307 | "display_name": "indoor scene", | 348 | "display_name": "indoor scene", | ||
308 | "id": "6ea936b7-33d6-416a-9639-c65133309404", | 349 | "id": "6ea936b7-33d6-416a-9639-c65133309404", | ||
309 | "name": "indoor scene", | 350 | "name": "indoor scene", | ||
310 | "state": "active", | 351 | "state": "active", | ||
311 | "vocabulary_id": null | 352 | "vocabulary_id": null | ||
312 | }, | 353 | }, | ||
313 | { | 354 | { | ||
314 | "display_name": "indoor scenes", | 355 | "display_name": "indoor scenes", | ||
315 | "id": "7c39b0f6-b707-459a-9d7e-7e2625177b9f", | 356 | "id": "7c39b0f6-b707-459a-9d7e-7e2625177b9f", | ||
316 | "name": "indoor scenes", | 357 | "name": "indoor scenes", | ||
317 | "state": "active", | 358 | "state": "active", | ||
318 | "vocabulary_id": null | 359 | "vocabulary_id": null | ||
319 | }, | 360 | }, | ||
320 | { | 361 | { | ||
321 | "display_name": "scene understanding", | 362 | "display_name": "scene understanding", | ||
322 | "id": "d56fbd48-e5ed-410d-8c4f-e698955e28fa", | 363 | "id": "d56fbd48-e5ed-410d-8c4f-e698955e28fa", | ||
323 | "name": "scene understanding", | 364 | "name": "scene understanding", | ||
324 | "state": "active", | 365 | "state": "active", | ||
325 | "vocabulary_id": null | 366 | "vocabulary_id": null | ||
326 | } | 367 | } | ||
327 | ], | 368 | ], | ||
328 | "title": "SUN RGB-D", | 369 | "title": "SUN RGB-D", | ||
329 | "type": "dataset", | 370 | "type": "dataset", | ||
330 | "version": "" | 371 | "version": "" | ||
331 | } | 372 | } |