Changes
On December 2, 2024 at 10:50:47 PM UTC, admin:
-
Added resource Original Metadata to SPair-71k
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Angjoo Kanazawa", | 3 | "author": "Angjoo Kanazawa", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2311.04336", | 6 | "https://doi.org/10.48550/arXiv.2311.04336", | ||
7 | "https://doi.org/10.48550/arXiv.2311.18540", | 7 | "https://doi.org/10.48550/arXiv.2311.18540", | ||
8 | "https://doi.org/10.48550/arXiv.2007.10587", | 8 | "https://doi.org/10.48550/arXiv.2007.10587", | ||
9 | "https://doi.org/10.48550/arXiv.2305.14334" | 9 | "https://doi.org/10.48550/arXiv.2305.14334" | ||
10 | ], | 10 | ], | ||
11 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 11 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
12 | "defined_in": "https://doi.org/10.48550/arXiv.2003.11657", | 12 | "defined_in": "https://doi.org/10.48550/arXiv.2003.11657", | ||
13 | "doi": "10.57702/uv76t6mb", | 13 | "doi": "10.57702/uv76t6mb", | ||
14 | "doi_date_published": "2024-12-02", | 14 | "doi_date_published": "2024-12-02", | ||
15 | "doi_publisher": "TIB", | 15 | "doi_publisher": "TIB", | ||
16 | "doi_status": true, | 16 | "doi_status": true, | ||
17 | "domain": "https://service.tib.eu/ldmservice", | 17 | "domain": "https://service.tib.eu/ldmservice", | ||
18 | "extra_authors": [ | 18 | "extra_authors": [ | ||
19 | { | 19 | { | ||
20 | "extra_author": "Yossi Gandelsman", | 20 | "extra_author": "Yossi Gandelsman", | ||
21 | "orcid": "" | 21 | "orcid": "" | ||
22 | }, | 22 | }, | ||
23 | { | 23 | { | ||
24 | "extra_author": "Norman Mu", | 24 | "extra_author": "Norman Mu", | ||
25 | "orcid": "" | 25 | "orcid": "" | ||
26 | }, | 26 | }, | ||
27 | { | 27 | { | ||
28 | "extra_author": "David Chan", | 28 | "extra_author": "David Chan", | ||
29 | "orcid": "" | 29 | "orcid": "" | ||
30 | }, | 30 | }, | ||
31 | { | 31 | { | ||
32 | "extra_author": "Jitendra Malik", | 32 | "extra_author": "Jitendra Malik", | ||
33 | "orcid": "" | 33 | "orcid": "" | ||
34 | } | 34 | } | ||
35 | ], | 35 | ], | ||
36 | "groups": [ | 36 | "groups": [ | ||
37 | { | 37 | { | ||
38 | "description": "", | 38 | "description": "", | ||
39 | "display_name": "Computer Vision", | 39 | "display_name": "Computer Vision", | ||
40 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | 40 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||
41 | "image_display_url": "", | 41 | "image_display_url": "", | ||
42 | "name": "computer-vision", | 42 | "name": "computer-vision", | ||
43 | "title": "Computer Vision" | 43 | "title": "Computer Vision" | ||
44 | }, | 44 | }, | ||
45 | { | 45 | { | ||
46 | "description": "", | 46 | "description": "", | ||
47 | "display_name": "Image Matching", | 47 | "display_name": "Image Matching", | ||
48 | "id": "35c11055-2262-4f0e-8857-b7aa68b5ad5c", | 48 | "id": "35c11055-2262-4f0e-8857-b7aa68b5ad5c", | ||
49 | "image_display_url": "", | 49 | "image_display_url": "", | ||
50 | "name": "image-matching", | 50 | "name": "image-matching", | ||
51 | "title": "Image Matching" | 51 | "title": "Image Matching" | ||
52 | }, | 52 | }, | ||
53 | { | 53 | { | ||
54 | "description": "", | 54 | "description": "", | ||
55 | "display_name": "Image Pairs", | 55 | "display_name": "Image Pairs", | ||
56 | "id": "f596434e-3573-452a-a215-c216fd6de857", | 56 | "id": "f596434e-3573-452a-a215-c216fd6de857", | ||
57 | "image_display_url": "", | 57 | "image_display_url": "", | ||
58 | "name": "image-pairs", | 58 | "name": "image-pairs", | ||
59 | "title": "Image Pairs" | 59 | "title": "Image Pairs" | ||
60 | }, | 60 | }, | ||
61 | { | 61 | { | ||
62 | "description": "", | 62 | "description": "", | ||
63 | "display_name": "Image Synthesis", | 63 | "display_name": "Image Synthesis", | ||
64 | "id": "8b89ca6b-96f7-439b-8045-febd38230620", | 64 | "id": "8b89ca6b-96f7-439b-8045-febd38230620", | ||
65 | "image_display_url": "", | 65 | "image_display_url": "", | ||
66 | "name": "image-synthesis", | 66 | "name": "image-synthesis", | ||
67 | "title": "Image Synthesis" | 67 | "title": "Image Synthesis" | ||
68 | }, | 68 | }, | ||
69 | { | 69 | { | ||
70 | "description": "", | 70 | "description": "", | ||
71 | "display_name": "Semantic Correspondence", | 71 | "display_name": "Semantic Correspondence", | ||
72 | "id": "39102563-e59e-4f9f-b5a3-d139de32fd93", | 72 | "id": "39102563-e59e-4f9f-b5a3-d139de32fd93", | ||
73 | "image_display_url": "", | 73 | "image_display_url": "", | ||
74 | "name": "semantic-correspondence", | 74 | "name": "semantic-correspondence", | ||
75 | "title": "Semantic Correspondence" | 75 | "title": "Semantic Correspondence" | ||
76 | }, | 76 | }, | ||
77 | { | 77 | { | ||
78 | "description": "", | 78 | "description": "", | ||
79 | "display_name": "Semantic Matching", | 79 | "display_name": "Semantic Matching", | ||
80 | "id": "b830a5ba-0cf9-4dc8-8780-d8aca88d4c73", | 80 | "id": "b830a5ba-0cf9-4dc8-8780-d8aca88d4c73", | ||
81 | "image_display_url": "", | 81 | "image_display_url": "", | ||
82 | "name": "semantic-matching", | 82 | "name": "semantic-matching", | ||
83 | "title": "Semantic Matching" | 83 | "title": "Semantic Matching" | ||
84 | } | 84 | } | ||
85 | ], | 85 | ], | ||
86 | "id": "ebf596c4-8ff4-4045-b7aa-167c87192591", | 86 | "id": "ebf596c4-8ff4-4045-b7aa-167c87192591", | ||
87 | "isopen": false, | 87 | "isopen": false, | ||
88 | "landing_page": "https://arxiv.org/abs/1908.10543", | 88 | "landing_page": "https://arxiv.org/abs/1908.10543", | ||
89 | "license_title": null, | 89 | "license_title": null, | ||
90 | "link_orkg": "", | 90 | "link_orkg": "", | ||
91 | "metadata_created": "2024-12-02T17:54:32.424504", | 91 | "metadata_created": "2024-12-02T17:54:32.424504", | ||
n | 92 | "metadata_modified": "2024-12-02T22:50:45.023972", | n | 92 | "metadata_modified": "2024-12-02T22:50:46.324910", |
93 | "name": "spair-71k", | 93 | "name": "spair-71k", | ||
94 | "notes": "The proposed method, dubbed Dynamic Hyperpixel Flow, | 94 | "notes": "The proposed method, dubbed Dynamic Hyperpixel Flow, | ||
95 | learns to compose hypercolumn features on the fly by selecting a small | 95 | learns to compose hypercolumn features on the fly by selecting a small | ||
96 | number of relevant layers from a deep convolutional neural network.", | 96 | number of relevant layers from a deep convolutional neural network.", | ||
n | 97 | "num_resources": 0, | n | 97 | "num_resources": 1, |
98 | "num_tags": 13, | 98 | "num_tags": 13, | ||
99 | "organization": { | 99 | "organization": { | ||
100 | "approval_status": "approved", | 100 | "approval_status": "approved", | ||
101 | "created": "2024-11-25T12:11:38.292601", | 101 | "created": "2024-11-25T12:11:38.292601", | ||
102 | "description": "", | 102 | "description": "", | ||
103 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 103 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
104 | "image_url": "", | 104 | "image_url": "", | ||
105 | "is_organization": true, | 105 | "is_organization": true, | ||
106 | "name": "no-organization", | 106 | "name": "no-organization", | ||
107 | "state": "active", | 107 | "state": "active", | ||
108 | "title": "No Organization", | 108 | "title": "No Organization", | ||
109 | "type": "organization" | 109 | "type": "organization" | ||
110 | }, | 110 | }, | ||
111 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 111 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
112 | "private": false, | 112 | "private": false, | ||
113 | "relationships_as_object": [], | 113 | "relationships_as_object": [], | ||
114 | "relationships_as_subject": [], | 114 | "relationships_as_subject": [], | ||
t | 115 | "resources": [], | t | 115 | "resources": [ |
116 | { | ||||
117 | "cache_last_updated": null, | ||||
118 | "cache_url": null, | ||||
119 | "created": "2024-12-02T22:29:38", | ||||
120 | "data": [ | ||||
121 | "dcterms:title", | ||||
122 | "dcterms:accessRights", | ||||
123 | "dcterms:creator", | ||||
124 | "dcterms:description", | ||||
125 | "dcterms:issued", | ||||
126 | "dcterms:language", | ||||
127 | "dcterms:identifier", | ||||
128 | "dcat:theme", | ||||
129 | "dcterms:type", | ||||
130 | "dcat:keyword", | ||||
131 | "dcat:landingPage", | ||||
132 | "dcterms:hasVersion", | ||||
133 | "dcterms:format", | ||||
134 | "mls:task", | ||||
135 | "datacite:isDescribedBy" | ||||
136 | ], | ||||
137 | "description": "The json representation of the dataset with its | ||||
138 | distributions based on DCAT.", | ||||
139 | "format": "JSON", | ||||
140 | "hash": "", | ||||
141 | "id": "7aa77b9b-087b-4e23-a979-5adb910ce0bf", | ||||
142 | "last_modified": "2024-12-02T22:50:46.315882", | ||||
143 | "metadata_modified": "2024-12-02T22:50:46.327744", | ||||
144 | "mimetype": "application/json", | ||||
145 | "mimetype_inner": null, | ||||
146 | "name": "Original Metadata", | ||||
147 | "package_id": "ebf596c4-8ff4-4045-b7aa-167c87192591", | ||||
148 | "position": 0, | ||||
149 | "resource_type": null, | ||||
150 | "size": 1352, | ||||
151 | "state": "active", | ||||
152 | "url": | ||||
153 | resource/7aa77b9b-087b-4e23-a979-5adb910ce0bf/download/metadata.json", | ||||
154 | "url_type": "upload" | ||||
155 | } | ||||
156 | ], | ||||
116 | "services_used_list": "", | 157 | "services_used_list": "", | ||
117 | "state": "active", | 158 | "state": "active", | ||
118 | "tags": [ | 159 | "tags": [ | ||
119 | { | 160 | { | ||
120 | "display_name": "Computer Vision", | 161 | "display_name": "Computer Vision", | ||
121 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | 162 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | ||
122 | "name": "Computer Vision", | 163 | "name": "Computer Vision", | ||
123 | "state": "active", | 164 | "state": "active", | ||
124 | "vocabulary_id": null | 165 | "vocabulary_id": null | ||
125 | }, | 166 | }, | ||
126 | { | 167 | { | ||
127 | "display_name": "Correspondence", | 168 | "display_name": "Correspondence", | ||
128 | "id": "02668a0c-89a4-48f7-ab72-cf24d5dfb5a8", | 169 | "id": "02668a0c-89a4-48f7-ab72-cf24d5dfb5a8", | ||
129 | "name": "Correspondence", | 170 | "name": "Correspondence", | ||
130 | "state": "active", | 171 | "state": "active", | ||
131 | "vocabulary_id": null | 172 | "vocabulary_id": null | ||
132 | }, | 173 | }, | ||
133 | { | 174 | { | ||
134 | "display_name": "Image Matching", | 175 | "display_name": "Image Matching", | ||
135 | "id": "41e8d446-55de-482b-b697-ab0443b9e409", | 176 | "id": "41e8d446-55de-482b-b697-ab0443b9e409", | ||
136 | "name": "Image Matching", | 177 | "name": "Image Matching", | ||
137 | "state": "active", | 178 | "state": "active", | ||
138 | "vocabulary_id": null | 179 | "vocabulary_id": null | ||
139 | }, | 180 | }, | ||
140 | { | 181 | { | ||
141 | "display_name": "Image Pair", | 182 | "display_name": "Image Pair", | ||
142 | "id": "b6218030-9303-4f2a-9765-cd5140cafb01", | 183 | "id": "b6218030-9303-4f2a-9765-cd5140cafb01", | ||
143 | "name": "Image Pair", | 184 | "name": "Image Pair", | ||
144 | "state": "active", | 185 | "state": "active", | ||
145 | "vocabulary_id": null | 186 | "vocabulary_id": null | ||
146 | }, | 187 | }, | ||
147 | { | 188 | { | ||
148 | "display_name": "Image Synthesis", | 189 | "display_name": "Image Synthesis", | ||
149 | "id": "8977f03a-9e9f-411c-8e92-d17f6dc7a823", | 190 | "id": "8977f03a-9e9f-411c-8e92-d17f6dc7a823", | ||
150 | "name": "Image Synthesis", | 191 | "name": "Image Synthesis", | ||
151 | "state": "active", | 192 | "state": "active", | ||
152 | "vocabulary_id": null | 193 | "vocabulary_id": null | ||
153 | }, | 194 | }, | ||
154 | { | 195 | { | ||
155 | "display_name": "SPair-71k", | 196 | "display_name": "SPair-71k", | ||
156 | "id": "768310f8-3552-48ac-a939-4840c8af6dd4", | 197 | "id": "768310f8-3552-48ac-a939-4840c8af6dd4", | ||
157 | "name": "SPair-71k", | 198 | "name": "SPair-71k", | ||
158 | "state": "active", | 199 | "state": "active", | ||
159 | "vocabulary_id": null | 200 | "vocabulary_id": null | ||
160 | }, | 201 | }, | ||
161 | { | 202 | { | ||
162 | "display_name": "Semantic Correspondence", | 203 | "display_name": "Semantic Correspondence", | ||
163 | "id": "4235cc4d-020b-4a71-9bbb-1e11ccdf74fc", | 204 | "id": "4235cc4d-020b-4a71-9bbb-1e11ccdf74fc", | ||
164 | "name": "Semantic Correspondence", | 205 | "name": "Semantic Correspondence", | ||
165 | "state": "active", | 206 | "state": "active", | ||
166 | "vocabulary_id": null | 207 | "vocabulary_id": null | ||
167 | }, | 208 | }, | ||
168 | { | 209 | { | ||
169 | "display_name": "Semantic Matching", | 210 | "display_name": "Semantic Matching", | ||
170 | "id": "340dc5c0-2087-4b31-8ba8-7c0184155a83", | 211 | "id": "340dc5c0-2087-4b31-8ba8-7c0184155a83", | ||
171 | "name": "Semantic Matching", | 212 | "name": "Semantic Matching", | ||
172 | "state": "active", | 213 | "state": "active", | ||
173 | "vocabulary_id": null | 214 | "vocabulary_id": null | ||
174 | }, | 215 | }, | ||
175 | { | 216 | { | ||
176 | "display_name": "convolutional layers", | 217 | "display_name": "convolutional layers", | ||
177 | "id": "590dfe5e-915e-444f-8389-704bf02fa27b", | 218 | "id": "590dfe5e-915e-444f-8389-704bf02fa27b", | ||
178 | "name": "convolutional layers", | 219 | "name": "convolutional layers", | ||
179 | "state": "active", | 220 | "state": "active", | ||
180 | "vocabulary_id": null | 221 | "vocabulary_id": null | ||
181 | }, | 222 | }, | ||
182 | { | 223 | { | ||
183 | "display_name": "image matching", | 224 | "display_name": "image matching", | ||
184 | "id": "941d5b3d-48d3-44c9-9529-7666b0aec81c", | 225 | "id": "941d5b3d-48d3-44c9-9529-7666b0aec81c", | ||
185 | "name": "image matching", | 226 | "name": "image matching", | ||
186 | "state": "active", | 227 | "state": "active", | ||
187 | "vocabulary_id": null | 228 | "vocabulary_id": null | ||
188 | }, | 229 | }, | ||
189 | { | 230 | { | ||
190 | "display_name": "image pairs", | 231 | "display_name": "image pairs", | ||
191 | "id": "3afefda8-0116-4fe5-a058-39470b304a2b", | 232 | "id": "3afefda8-0116-4fe5-a058-39470b304a2b", | ||
192 | "name": "image pairs", | 233 | "name": "image pairs", | ||
193 | "state": "active", | 234 | "state": "active", | ||
194 | "vocabulary_id": null | 235 | "vocabulary_id": null | ||
195 | }, | 236 | }, | ||
196 | { | 237 | { | ||
197 | "display_name": "large-scale benchmark", | 238 | "display_name": "large-scale benchmark", | ||
198 | "id": "d0b12015-10bd-4b97-9e34-1512b9f514ae", | 239 | "id": "d0b12015-10bd-4b97-9e34-1512b9f514ae", | ||
199 | "name": "large-scale benchmark", | 240 | "name": "large-scale benchmark", | ||
200 | "state": "active", | 241 | "state": "active", | ||
201 | "vocabulary_id": null | 242 | "vocabulary_id": null | ||
202 | }, | 243 | }, | ||
203 | { | 244 | { | ||
204 | "display_name": "semantic correspondence", | 245 | "display_name": "semantic correspondence", | ||
205 | "id": "049a2e37-d440-4c51-b819-98c656240fb6", | 246 | "id": "049a2e37-d440-4c51-b819-98c656240fb6", | ||
206 | "name": "semantic correspondence", | 247 | "name": "semantic correspondence", | ||
207 | "state": "active", | 248 | "state": "active", | ||
208 | "vocabulary_id": null | 249 | "vocabulary_id": null | ||
209 | } | 250 | } | ||
210 | ], | 251 | ], | ||
211 | "title": "SPair-71k", | 252 | "title": "SPair-71k", | ||
212 | "type": "dataset", | 253 | "type": "dataset", | ||
213 | "version": "" | 254 | "version": "" | ||
214 | } | 255 | } |