Changes
On December 2, 2024 at 10:20:01 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in MultiTHUMOS -
Changed value of field
doi_date_published
to2024-12-02
in MultiTHUMOS -
Added resource Original Metadata to MultiTHUMOS
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Dima Damen", | 3 | "author": "Dima Damen", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2303.09055" | 6 | "https://doi.org/10.48550/arXiv.2303.09055" | ||
7 | ], | 7 | ], | ||
8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
9 | "defined_in": "https://doi.org/10.48550/arXiv.2303.08463", | 9 | "defined_in": "https://doi.org/10.48550/arXiv.2303.08463", | ||
10 | "doi": "10.57702/a8vlyrhc", | 10 | "doi": "10.57702/a8vlyrhc", | ||
n | 11 | "doi_date_published": null, | n | 11 | "doi_date_published": "2024-12-02", |
12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
n | 13 | "doi_status": false, | n | 13 | "doi_status": true, |
14 | "domain": "https://service.tib.eu/ldmservice", | 14 | "domain": "https://service.tib.eu/ldmservice", | ||
15 | "extra_authors": [ | 15 | "extra_authors": [ | ||
16 | { | 16 | { | ||
17 | "extra_author": "Hazel Doughty", | 17 | "extra_author": "Hazel Doughty", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Giovanni Maria Farinella", | 21 | "extra_author": "Giovanni Maria Farinella", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | }, | 23 | }, | ||
24 | { | 24 | { | ||
25 | "extra_author": "Antonino Furnari", | 25 | "extra_author": "Antonino Furnari", | ||
26 | "orcid": "" | 26 | "orcid": "" | ||
27 | }, | 27 | }, | ||
28 | { | 28 | { | ||
29 | "extra_author": "Evangelos Kazakos", | 29 | "extra_author": "Evangelos Kazakos", | ||
30 | "orcid": "" | 30 | "orcid": "" | ||
31 | }, | 31 | }, | ||
32 | { | 32 | { | ||
33 | "extra_author": "Jian Ma", | 33 | "extra_author": "Jian Ma", | ||
34 | "orcid": "" | 34 | "orcid": "" | ||
35 | }, | 35 | }, | ||
36 | { | 36 | { | ||
37 | "extra_author": "Davide Moltisanti", | 37 | "extra_author": "Davide Moltisanti", | ||
38 | "orcid": "" | 38 | "orcid": "" | ||
39 | }, | 39 | }, | ||
40 | { | 40 | { | ||
41 | "extra_author": "Jonathan Munro", | 41 | "extra_author": "Jonathan Munro", | ||
42 | "orcid": "" | 42 | "orcid": "" | ||
43 | }, | 43 | }, | ||
44 | { | 44 | { | ||
45 | "extra_author": "Toby Perrett", | 45 | "extra_author": "Toby Perrett", | ||
46 | "orcid": "" | 46 | "orcid": "" | ||
47 | }, | 47 | }, | ||
48 | { | 48 | { | ||
49 | "extra_author": "Will Price", | 49 | "extra_author": "Will Price", | ||
50 | "orcid": "" | 50 | "orcid": "" | ||
51 | } | 51 | } | ||
52 | ], | 52 | ], | ||
53 | "groups": [ | 53 | "groups": [ | ||
54 | { | 54 | { | ||
55 | "description": "", | 55 | "description": "", | ||
56 | "display_name": "Action Detection", | 56 | "display_name": "Action Detection", | ||
57 | "id": "e8ab28a6-16d4-4a05-8be0-240ff43ec419", | 57 | "id": "e8ab28a6-16d4-4a05-8be0-240ff43ec419", | ||
58 | "image_display_url": "", | 58 | "image_display_url": "", | ||
59 | "name": "action-detection", | 59 | "name": "action-detection", | ||
60 | "title": "Action Detection" | 60 | "title": "Action Detection" | ||
61 | }, | 61 | }, | ||
62 | { | 62 | { | ||
63 | "description": "", | 63 | "description": "", | ||
64 | "display_name": "Temporal Action Localization", | 64 | "display_name": "Temporal Action Localization", | ||
65 | "id": "0477ac47-e20c-47c6-9aaa-3085be5b93ec", | 65 | "id": "0477ac47-e20c-47c6-9aaa-3085be5b93ec", | ||
66 | "image_display_url": "", | 66 | "image_display_url": "", | ||
67 | "name": "temporal-action-localization", | 67 | "name": "temporal-action-localization", | ||
68 | "title": "Temporal Action Localization" | 68 | "title": "Temporal Action Localization" | ||
69 | }, | 69 | }, | ||
70 | { | 70 | { | ||
71 | "description": "", | 71 | "description": "", | ||
72 | "display_name": "Video Analysis", | 72 | "display_name": "Video Analysis", | ||
73 | "id": "8c1b46e9-67b3-4346-8a53-29e9a00330de", | 73 | "id": "8c1b46e9-67b3-4346-8a53-29e9a00330de", | ||
74 | "image_display_url": "", | 74 | "image_display_url": "", | ||
75 | "name": "video-analysis", | 75 | "name": "video-analysis", | ||
76 | "title": "Video Analysis" | 76 | "title": "Video Analysis" | ||
77 | } | 77 | } | ||
78 | ], | 78 | ], | ||
79 | "id": "5afb2d7c-02c0-48d4-af90-b5e2fb41caa3", | 79 | "id": "5afb2d7c-02c0-48d4-af90-b5e2fb41caa3", | ||
80 | "isopen": false, | 80 | "isopen": false, | ||
81 | "landing_page": "https://github.com/TuanTNG/TemporalMaxer", | 81 | "landing_page": "https://github.com/TuanTNG/TemporalMaxer", | ||
82 | "license_title": null, | 82 | "license_title": null, | ||
83 | "link_orkg": "", | 83 | "link_orkg": "", | ||
84 | "metadata_created": "2024-12-02T22:19:59.926316", | 84 | "metadata_created": "2024-12-02T22:19:59.926316", | ||
n | 85 | "metadata_modified": "2024-12-02T22:19:59.926322", | n | 85 | "metadata_modified": "2024-12-02T22:20:00.539331", |
86 | "name": "multithumos", | 86 | "name": "multithumos", | ||
87 | "notes": "Temporal action localization (TAL) is a prevailing task | 87 | "notes": "Temporal action localization (TAL) is a prevailing task | ||
88 | due to its great application potential. Existing works in this field | 88 | due to its great application potential. Existing works in this field | ||
89 | mainly suffer from two weaknesses: (1) They often neglect the | 89 | mainly suffer from two weaknesses: (1) They often neglect the | ||
90 | multi-label case and only focus on temporal modeling. (2) They ignore | 90 | multi-label case and only focus on temporal modeling. (2) They ignore | ||
91 | the semantic information in class labels and only use the visual | 91 | the semantic information in class labels and only use the visual | ||
92 | information.", | 92 | information.", | ||
n | 93 | "num_resources": 0, | n | 93 | "num_resources": 1, |
94 | "num_tags": 6, | 94 | "num_tags": 6, | ||
95 | "organization": { | 95 | "organization": { | ||
96 | "approval_status": "approved", | 96 | "approval_status": "approved", | ||
97 | "created": "2024-11-25T12:11:38.292601", | 97 | "created": "2024-11-25T12:11:38.292601", | ||
98 | "description": "", | 98 | "description": "", | ||
99 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 99 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
100 | "image_url": "", | 100 | "image_url": "", | ||
101 | "is_organization": true, | 101 | "is_organization": true, | ||
102 | "name": "no-organization", | 102 | "name": "no-organization", | ||
103 | "state": "active", | 103 | "state": "active", | ||
104 | "title": "No Organization", | 104 | "title": "No Organization", | ||
105 | "type": "organization" | 105 | "type": "organization" | ||
106 | }, | 106 | }, | ||
107 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 107 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
108 | "private": false, | 108 | "private": false, | ||
109 | "relationships_as_object": [], | 109 | "relationships_as_object": [], | ||
110 | "relationships_as_subject": [], | 110 | "relationships_as_subject": [], | ||
t | 111 | "resources": [], | t | 111 | "resources": [ |
112 | { | ||||
113 | "cache_last_updated": null, | ||||
114 | "cache_url": null, | ||||
115 | "created": "2024-12-02T22:29:38", | ||||
116 | "data": [ | ||||
117 | "dcterms:title", | ||||
118 | "dcterms:accessRights", | ||||
119 | "dcterms:creator", | ||||
120 | "dcterms:description", | ||||
121 | "dcterms:issued", | ||||
122 | "dcterms:language", | ||||
123 | "dcterms:identifier", | ||||
124 | "dcat:theme", | ||||
125 | "dcterms:type", | ||||
126 | "dcat:keyword", | ||||
127 | "dcat:landingPage", | ||||
128 | "dcterms:hasVersion", | ||||
129 | "dcterms:format", | ||||
130 | "mls:task", | ||||
131 | "datacite:isDescribedBy" | ||||
132 | ], | ||||
133 | "description": "The json representation of the dataset with its | ||||
134 | distributions based on DCAT.", | ||||
135 | "format": "JSON", | ||||
136 | "hash": "", | ||||
137 | "id": "d7e97942-c328-47c4-8247-2c39baf2704b", | ||||
138 | "last_modified": "2024-12-02T22:20:00.531306", | ||||
139 | "metadata_modified": "2024-12-02T22:20:00.542327", | ||||
140 | "mimetype": "application/json", | ||||
141 | "mimetype_inner": null, | ||||
142 | "name": "Original Metadata", | ||||
143 | "package_id": "5afb2d7c-02c0-48d4-af90-b5e2fb41caa3", | ||||
144 | "position": 0, | ||||
145 | "resource_type": null, | ||||
146 | "size": 1254, | ||||
147 | "state": "active", | ||||
148 | "url": | ||||
149 | resource/d7e97942-c328-47c4-8247-2c39baf2704b/download/metadata.json", | ||||
150 | "url_type": "upload" | ||||
151 | } | ||||
152 | ], | ||||
112 | "services_used_list": "", | 153 | "services_used_list": "", | ||
113 | "state": "active", | 154 | "state": "active", | ||
114 | "tags": [ | 155 | "tags": [ | ||
115 | { | 156 | { | ||
116 | "display_name": "Action Recognition", | 157 | "display_name": "Action Recognition", | ||
117 | "id": "400185a4-a218-4ac1-bad5-4e4809af85be", | 158 | "id": "400185a4-a218-4ac1-bad5-4e4809af85be", | ||
118 | "name": "Action Recognition", | 159 | "name": "Action Recognition", | ||
119 | "state": "active", | 160 | "state": "active", | ||
120 | "vocabulary_id": null | 161 | "vocabulary_id": null | ||
121 | }, | 162 | }, | ||
122 | { | 163 | { | ||
123 | "display_name": "Multi-Label Action Detection", | 164 | "display_name": "Multi-Label Action Detection", | ||
124 | "id": "4d0dcd50-8869-401d-b7e4-ae716aa2934e", | 165 | "id": "4d0dcd50-8869-401d-b7e4-ae716aa2934e", | ||
125 | "name": "Multi-Label Action Detection", | 166 | "name": "Multi-Label Action Detection", | ||
126 | "state": "active", | 167 | "state": "active", | ||
127 | "vocabulary_id": null | 168 | "vocabulary_id": null | ||
128 | }, | 169 | }, | ||
129 | { | 170 | { | ||
130 | "display_name": "Multi-Label Case", | 171 | "display_name": "Multi-Label Case", | ||
131 | "id": "33d40c9d-eeca-4d6d-8eb3-fa905485fd44", | 172 | "id": "33d40c9d-eeca-4d6d-8eb3-fa905485fd44", | ||
132 | "name": "Multi-Label Case", | 173 | "name": "Multi-Label Case", | ||
133 | "state": "active", | 174 | "state": "active", | ||
134 | "vocabulary_id": null | 175 | "vocabulary_id": null | ||
135 | }, | 176 | }, | ||
136 | { | 177 | { | ||
137 | "display_name": "Semantic Information", | 178 | "display_name": "Semantic Information", | ||
138 | "id": "23ba9cd9-9a46-402b-a6ac-72fcaaed3e33", | 179 | "id": "23ba9cd9-9a46-402b-a6ac-72fcaaed3e33", | ||
139 | "name": "Semantic Information", | 180 | "name": "Semantic Information", | ||
140 | "state": "active", | 181 | "state": "active", | ||
141 | "vocabulary_id": null | 182 | "vocabulary_id": null | ||
142 | }, | 183 | }, | ||
143 | { | 184 | { | ||
144 | "display_name": "Temporal Action Localization", | 185 | "display_name": "Temporal Action Localization", | ||
145 | "id": "abb1f7ba-d493-4444-b857-8372635d0436", | 186 | "id": "abb1f7ba-d493-4444-b857-8372635d0436", | ||
146 | "name": "Temporal Action Localization", | 187 | "name": "Temporal Action Localization", | ||
147 | "state": "active", | 188 | "state": "active", | ||
148 | "vocabulary_id": null | 189 | "vocabulary_id": null | ||
149 | }, | 190 | }, | ||
150 | { | 191 | { | ||
151 | "display_name": "Video Analysis", | 192 | "display_name": "Video Analysis", | ||
152 | "id": "3cb6ddd6-0134-4eff-95d8-75c960df9fdf", | 193 | "id": "3cb6ddd6-0134-4eff-95d8-75c960df9fdf", | ||
153 | "name": "Video Analysis", | 194 | "name": "Video Analysis", | ||
154 | "state": "active", | 195 | "state": "active", | ||
155 | "vocabulary_id": null | 196 | "vocabulary_id": null | ||
156 | } | 197 | } | ||
157 | ], | 198 | ], | ||
158 | "title": "MultiTHUMOS", | 199 | "title": "MultiTHUMOS", | ||
159 | "type": "dataset", | 200 | "type": "dataset", | ||
160 | "version": "" | 201 | "version": "" | ||
161 | } | 202 | } |