Changes
On December 2, 2024 at 5:49:12 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in YouTube-VOS -
Changed value of field
doi_date_published
to2024-12-02
in YouTube-VOS -
Added resource Original Metadata to YouTube-VOS
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "N. Xu", | 3 | "author": "N. Xu", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2208.10662", | 6 | "https://doi.org/10.48550/arXiv.2208.10662", | ||
7 | "https://doi.org/10.48550/arXiv.2103.12934", | 7 | "https://doi.org/10.48550/arXiv.2103.12934", | ||
8 | "https://doi.org/10.48550/arXiv.2112.02853", | 8 | "https://doi.org/10.48550/arXiv.2112.02853", | ||
9 | "https://doi.org/10.48550/arXiv.2304.06718", | 9 | "https://doi.org/10.48550/arXiv.2304.06718", | ||
10 | "https://doi.org/10.48550/arXiv.2010.05069" | 10 | "https://doi.org/10.48550/arXiv.2010.05069" | ||
11 | ], | 11 | ], | ||
12 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 12 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
13 | "defined_in": "https://doi.org/10.1109/TCSVT.2023.3341170", | 13 | "defined_in": "https://doi.org/10.1109/TCSVT.2023.3341170", | ||
14 | "doi": "10.57702/qzdb98hv", | 14 | "doi": "10.57702/qzdb98hv", | ||
n | 15 | "doi_date_published": null, | n | 15 | "doi_date_published": "2024-12-02", |
16 | "doi_publisher": "TIB", | 16 | "doi_publisher": "TIB", | ||
n | 17 | "doi_status": false, | n | 17 | "doi_status": true, |
18 | "domain": "https://service.tib.eu/ldmservice", | 18 | "domain": "https://service.tib.eu/ldmservice", | ||
19 | "extra_authors": [ | 19 | "extra_authors": [ | ||
20 | { | 20 | { | ||
21 | "extra_author": "L. Yang", | 21 | "extra_author": "L. Yang", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | }, | 23 | }, | ||
24 | { | 24 | { | ||
25 | "extra_author": "Y. Fan", | 25 | "extra_author": "Y. Fan", | ||
26 | "orcid": "" | 26 | "orcid": "" | ||
27 | }, | 27 | }, | ||
28 | { | 28 | { | ||
29 | "extra_author": "D. Yue", | 29 | "extra_author": "D. Yue", | ||
30 | "orcid": "" | 30 | "orcid": "" | ||
31 | }, | 31 | }, | ||
32 | { | 32 | { | ||
33 | "extra_author": "Y. Liang", | 33 | "extra_author": "Y. Liang", | ||
34 | "orcid": "" | 34 | "orcid": "" | ||
35 | }, | 35 | }, | ||
36 | { | 36 | { | ||
37 | "extra_author": "J. Yang", | 37 | "extra_author": "J. Yang", | ||
38 | "orcid": "" | 38 | "orcid": "" | ||
39 | }, | 39 | }, | ||
40 | { | 40 | { | ||
41 | "extra_author": "T. Huang", | 41 | "extra_author": "T. Huang", | ||
42 | "orcid": "" | 42 | "orcid": "" | ||
43 | } | 43 | } | ||
44 | ], | 44 | ], | ||
45 | "groups": [ | 45 | "groups": [ | ||
46 | { | 46 | { | ||
47 | "description": "", | 47 | "description": "", | ||
48 | "display_name": "Fish Segmentation", | 48 | "display_name": "Fish Segmentation", | ||
49 | "id": "3412e5ab-63f7-44b1-bfdb-e860d24067ce", | 49 | "id": "3412e5ab-63f7-44b1-bfdb-e860d24067ce", | ||
50 | "image_display_url": "", | 50 | "image_display_url": "", | ||
51 | "name": "fish-segmentation", | 51 | "name": "fish-segmentation", | ||
52 | "title": "Fish Segmentation" | 52 | "title": "Fish Segmentation" | ||
53 | }, | 53 | }, | ||
54 | { | 54 | { | ||
55 | "description": "", | 55 | "description": "", | ||
56 | "display_name": "Fish Tracking", | 56 | "display_name": "Fish Tracking", | ||
57 | "id": "c2a29af6-0ab5-47bc-8868-a8e1b5d5a46c", | 57 | "id": "c2a29af6-0ab5-47bc-8868-a8e1b5d5a46c", | ||
58 | "image_display_url": "", | 58 | "image_display_url": "", | ||
59 | "name": "fish-tracking", | 59 | "name": "fish-tracking", | ||
60 | "title": "Fish Tracking" | 60 | "title": "Fish Tracking" | ||
61 | }, | 61 | }, | ||
62 | { | 62 | { | ||
63 | "description": "", | 63 | "description": "", | ||
64 | "display_name": "Video Object Segmentation", | 64 | "display_name": "Video Object Segmentation", | ||
65 | "id": "dff2aa99-879a-4411-b97e-9ad0b2fef561", | 65 | "id": "dff2aa99-879a-4411-b97e-9ad0b2fef561", | ||
66 | "image_display_url": "", | 66 | "image_display_url": "", | ||
67 | "name": "video-object-segmentation", | 67 | "name": "video-object-segmentation", | ||
68 | "title": "Video Object Segmentation" | 68 | "title": "Video Object Segmentation" | ||
69 | } | 69 | } | ||
70 | ], | 70 | ], | ||
71 | "id": "816b4cc1-b7aa-405c-ab85-0cadc94cabe0", | 71 | "id": "816b4cc1-b7aa-405c-ab85-0cadc94cabe0", | ||
72 | "isopen": false, | 72 | "isopen": false, | ||
73 | "landing_page": "https://www.youtube-vos.org/", | 73 | "landing_page": "https://www.youtube-vos.org/", | ||
74 | "license_title": null, | 74 | "license_title": null, | ||
75 | "link_orkg": "", | 75 | "link_orkg": "", | ||
76 | "metadata_created": "2024-12-02T17:49:10.458726", | 76 | "metadata_created": "2024-12-02T17:49:10.458726", | ||
n | 77 | "metadata_modified": "2024-12-02T17:49:10.458732", | n | 77 | "metadata_modified": "2024-12-02T17:49:10.817282", |
78 | "name": "youtube-vos", | 78 | "name": "youtube-vos", | ||
79 | "notes": "One-shot Video Object Segmentation (VOS) is the task of | 79 | "notes": "One-shot Video Object Segmentation (VOS) is the task of | ||
80 | pixel-wise tracking an object of interest within a video sequence, | 80 | pixel-wise tracking an object of interest within a video sequence, | ||
81 | where the segmentation mask of the \ufb01rst frame is given at | 81 | where the segmentation mask of the \ufb01rst frame is given at | ||
82 | inference time.", | 82 | inference time.", | ||
n | 83 | "num_resources": 0, | n | 83 | "num_resources": 1, |
84 | "num_tags": 13, | 84 | "num_tags": 13, | ||
85 | "organization": { | 85 | "organization": { | ||
86 | "approval_status": "approved", | 86 | "approval_status": "approved", | ||
87 | "created": "2024-11-25T12:11:38.292601", | 87 | "created": "2024-11-25T12:11:38.292601", | ||
88 | "description": "", | 88 | "description": "", | ||
89 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 89 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
90 | "image_url": "", | 90 | "image_url": "", | ||
91 | "is_organization": true, | 91 | "is_organization": true, | ||
92 | "name": "no-organization", | 92 | "name": "no-organization", | ||
93 | "state": "active", | 93 | "state": "active", | ||
94 | "title": "No Organization", | 94 | "title": "No Organization", | ||
95 | "type": "organization" | 95 | "type": "organization" | ||
96 | }, | 96 | }, | ||
97 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 97 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
98 | "private": false, | 98 | "private": false, | ||
99 | "relationships_as_object": [], | 99 | "relationships_as_object": [], | ||
100 | "relationships_as_subject": [], | 100 | "relationships_as_subject": [], | ||
t | 101 | "resources": [], | t | 101 | "resources": [ |
102 | { | ||||
103 | "cache_last_updated": null, | ||||
104 | "cache_url": null, | ||||
105 | "created": "2024-12-02T18:38:42", | ||||
106 | "data": [ | ||||
107 | "dcterms:title", | ||||
108 | "dcterms:accessRights", | ||||
109 | "dcterms:creator", | ||||
110 | "dcterms:description", | ||||
111 | "dcterms:issued", | ||||
112 | "dcterms:language", | ||||
113 | "dcterms:identifier", | ||||
114 | "dcat:theme", | ||||
115 | "dcterms:type", | ||||
116 | "dcat:keyword", | ||||
117 | "dcat:landingPage", | ||||
118 | "dcterms:hasVersion", | ||||
119 | "dcterms:format", | ||||
120 | "mls:task", | ||||
121 | "datacite:isDescribedBy" | ||||
122 | ], | ||||
123 | "description": "The json representation of the dataset with its | ||||
124 | distributions based on DCAT.", | ||||
125 | "format": "JSON", | ||||
126 | "hash": "", | ||||
127 | "id": "083079c3-87cc-4ba3-8f5b-cb68e33c32ff", | ||||
128 | "last_modified": "2024-12-02T17:49:10.808219", | ||||
129 | "metadata_modified": "2024-12-02T17:49:10.820316", | ||||
130 | "mimetype": "application/json", | ||||
131 | "mimetype_inner": null, | ||||
132 | "name": "Original Metadata", | ||||
133 | "package_id": "816b4cc1-b7aa-405c-ab85-0cadc94cabe0", | ||||
134 | "position": 0, | ||||
135 | "resource_type": null, | ||||
136 | "size": 1316, | ||||
137 | "state": "active", | ||||
138 | "url": | ||||
139 | resource/083079c3-87cc-4ba3-8f5b-cb68e33c32ff/download/metadata.json", | ||||
140 | "url_type": "upload" | ||||
141 | } | ||||
142 | ], | ||||
102 | "services_used_list": "", | 143 | "services_used_list": "", | ||
103 | "state": "active", | 144 | "state": "active", | ||
104 | "tags": [ | 145 | "tags": [ | ||
105 | { | 146 | { | ||
106 | "display_name": "Benchmark", | 147 | "display_name": "Benchmark", | ||
107 | "id": "70474eb4-f8bf-42f1-bf26-7511d4f3356c", | 148 | "id": "70474eb4-f8bf-42f1-bf26-7511d4f3356c", | ||
108 | "name": "Benchmark", | 149 | "name": "Benchmark", | ||
109 | "state": "active", | 150 | "state": "active", | ||
110 | "vocabulary_id": null | 151 | "vocabulary_id": null | ||
111 | }, | 152 | }, | ||
112 | { | 153 | { | ||
113 | "display_name": "Correspondence Matching", | 154 | "display_name": "Correspondence Matching", | ||
114 | "id": "6be6aee5-8f48-416a-af80-08c9a422733f", | 155 | "id": "6be6aee5-8f48-416a-af80-08c9a422733f", | ||
115 | "name": "Correspondence Matching", | 156 | "name": "Correspondence Matching", | ||
116 | "state": "active", | 157 | "state": "active", | ||
117 | "vocabulary_id": null | 158 | "vocabulary_id": null | ||
118 | }, | 159 | }, | ||
119 | { | 160 | { | ||
120 | "display_name": "Large-scale", | 161 | "display_name": "Large-scale", | ||
121 | "id": "9267d5a4-c0a1-4160-a509-c6db091b3758", | 162 | "id": "9267d5a4-c0a1-4160-a509-c6db091b3758", | ||
122 | "name": "Large-scale", | 163 | "name": "Large-scale", | ||
123 | "state": "active", | 164 | "state": "active", | ||
124 | "vocabulary_id": null | 165 | "vocabulary_id": null | ||
125 | }, | 166 | }, | ||
126 | { | 167 | { | ||
127 | "display_name": "Multi-Object Tracking", | 168 | "display_name": "Multi-Object Tracking", | ||
128 | "id": "2dc8c349-aa1f-4154-a63b-c3714c548cc0", | 169 | "id": "2dc8c349-aa1f-4154-a63b-c3714c548cc0", | ||
129 | "name": "Multi-Object Tracking", | 170 | "name": "Multi-Object Tracking", | ||
130 | "state": "active", | 171 | "state": "active", | ||
131 | "vocabulary_id": null | 172 | "vocabulary_id": null | ||
132 | }, | 173 | }, | ||
133 | { | 174 | { | ||
134 | "display_name": "Object Detection", | 175 | "display_name": "Object Detection", | ||
135 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | 176 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | ||
136 | "name": "Object Detection", | 177 | "name": "Object Detection", | ||
137 | "state": "active", | 178 | "state": "active", | ||
138 | "vocabulary_id": null | 179 | "vocabulary_id": null | ||
139 | }, | 180 | }, | ||
140 | { | 181 | { | ||
141 | "display_name": "Recurrent Networks", | 182 | "display_name": "Recurrent Networks", | ||
142 | "id": "4e751ed8-0718-4f4e-ad77-3647698e696a", | 183 | "id": "4e751ed8-0718-4f4e-ad77-3647698e696a", | ||
143 | "name": "Recurrent Networks", | 184 | "name": "Recurrent Networks", | ||
144 | "state": "active", | 185 | "state": "active", | ||
145 | "vocabulary_id": null | 186 | "vocabulary_id": null | ||
146 | }, | 187 | }, | ||
147 | { | 188 | { | ||
148 | "display_name": "Video Object Segmentation", | 189 | "display_name": "Video Object Segmentation", | ||
149 | "id": "91f0880d-1ed0-4221-8930-f0f2b46f28cc", | 190 | "id": "91f0880d-1ed0-4221-8930-f0f2b46f28cc", | ||
150 | "name": "Video Object Segmentation", | 191 | "name": "Video Object Segmentation", | ||
151 | "state": "active", | 192 | "state": "active", | ||
152 | "vocabulary_id": null | 193 | "vocabulary_id": null | ||
153 | }, | 194 | }, | ||
154 | { | 195 | { | ||
155 | "display_name": "YouTube-VOS", | 196 | "display_name": "YouTube-VOS", | ||
156 | "id": "9ad3eeab-3f4d-4bff-8dc4-9590e6f19389", | 197 | "id": "9ad3eeab-3f4d-4bff-8dc4-9590e6f19389", | ||
157 | "name": "YouTube-VOS", | 198 | "name": "YouTube-VOS", | ||
158 | "state": "active", | 199 | "state": "active", | ||
159 | "vocabulary_id": null | 200 | "vocabulary_id": null | ||
160 | }, | 201 | }, | ||
161 | { | 202 | { | ||
162 | "display_name": "benchmark", | 203 | "display_name": "benchmark", | ||
163 | "id": "e3d4984e-822c-4023-a134-9cacabcfc36d", | 204 | "id": "e3d4984e-822c-4023-a134-9cacabcfc36d", | ||
164 | "name": "benchmark", | 205 | "name": "benchmark", | ||
165 | "state": "active", | 206 | "state": "active", | ||
166 | "vocabulary_id": null | 207 | "vocabulary_id": null | ||
167 | }, | 208 | }, | ||
168 | { | 209 | { | ||
169 | "display_name": "fish segmentation", | 210 | "display_name": "fish segmentation", | ||
170 | "id": "4c7ac664-03e2-4883-994b-8dfbb3d562ea", | 211 | "id": "4c7ac664-03e2-4883-994b-8dfbb3d562ea", | ||
171 | "name": "fish segmentation", | 212 | "name": "fish segmentation", | ||
172 | "state": "active", | 213 | "state": "active", | ||
173 | "vocabulary_id": null | 214 | "vocabulary_id": null | ||
174 | }, | 215 | }, | ||
175 | { | 216 | { | ||
176 | "display_name": "fish tracking", | 217 | "display_name": "fish tracking", | ||
177 | "id": "0eebdb2d-e3b2-418f-a7e5-507f1fb6003c", | 218 | "id": "0eebdb2d-e3b2-418f-a7e5-507f1fb6003c", | ||
178 | "name": "fish tracking", | 219 | "name": "fish tracking", | ||
179 | "state": "active", | 220 | "state": "active", | ||
180 | "vocabulary_id": null | 221 | "vocabulary_id": null | ||
181 | }, | 222 | }, | ||
182 | { | 223 | { | ||
183 | "display_name": "underwater videos", | 224 | "display_name": "underwater videos", | ||
184 | "id": "51bcd0a2-7060-4a7c-b2b9-20c495ee4138", | 225 | "id": "51bcd0a2-7060-4a7c-b2b9-20c495ee4138", | ||
185 | "name": "underwater videos", | 226 | "name": "underwater videos", | ||
186 | "state": "active", | 227 | "state": "active", | ||
187 | "vocabulary_id": null | 228 | "vocabulary_id": null | ||
188 | }, | 229 | }, | ||
189 | { | 230 | { | ||
190 | "display_name": "video object segmentation", | 231 | "display_name": "video object segmentation", | ||
191 | "id": "ee7edca9-a1fd-4f04-84e8-ef31218c14d9", | 232 | "id": "ee7edca9-a1fd-4f04-84e8-ef31218c14d9", | ||
192 | "name": "video object segmentation", | 233 | "name": "video object segmentation", | ||
193 | "state": "active", | 234 | "state": "active", | ||
194 | "vocabulary_id": null | 235 | "vocabulary_id": null | ||
195 | } | 236 | } | ||
196 | ], | 237 | ], | ||
197 | "title": "YouTube-VOS", | 238 | "title": "YouTube-VOS", | ||
198 | "type": "dataset", | 239 | "type": "dataset", | ||
199 | "version": "" | 240 | "version": "" | ||
200 | } | 241 | } |