Changes
On January 2, 2025 at 9:12:14 PM UTC,
-
Changed value of field
doi_status
toTrue
in GTA→Cityscapes -
Changed value of field
doi_date_published
to2025-01-02
in GTA→Cityscapes -
Added resource Original Metadata to GTA→Cityscapes
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4 | "author_email": "", | 4 | "author_email": "", | ||
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15 | "extra_authors": [ | 15 | "extra_authors": [ | ||
16 | { | 16 | { | ||
17 | "extra_author": "Niluthpol Chowdhury Mithun", | 17 | "extra_author": "Niluthpol Chowdhury Mithun", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Abhinav Rajvanshi", | 21 | "extra_author": "Abhinav Rajvanshi", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | }, | 23 | }, | ||
24 | { | 24 | { | ||
25 | "extra_author": "Han-Pang Chiu", | 25 | "extra_author": "Han-Pang Chiu", | ||
26 | "orcid": "" | 26 | "orcid": "" | ||
27 | }, | 27 | }, | ||
28 | { | 28 | { | ||
29 | "extra_author": "Supun Samarasekera", | 29 | "extra_author": "Supun Samarasekera", | ||
30 | "orcid": "" | 30 | "orcid": "" | ||
31 | } | 31 | } | ||
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48 | "title": "Semantic Segmentation" | 48 | "title": "Semantic Segmentation" | ||
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54 | "image_display_url": "", | 54 | "image_display_url": "", | ||
55 | "name": "unsupervised-domain-adaptation", | 55 | "name": "unsupervised-domain-adaptation", | ||
56 | "title": "Unsupervised Domain Adaptation" | 56 | "title": "Unsupervised Domain Adaptation" | ||
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60 | "isopen": false, | 60 | "isopen": false, | ||
61 | "landing_page": "https://arxiv.org/abs/2112.03241", | 61 | "landing_page": "https://arxiv.org/abs/2112.03241", | ||
62 | "license_title": null, | 62 | "license_title": null, | ||
63 | "link_orkg": "", | 63 | "link_orkg": "", | ||
64 | "metadata_created": "2025-01-02T21:12:12.129581", | 64 | "metadata_created": "2025-01-02T21:12:12.129581", | ||
n | 65 | "metadata_modified": "2025-01-02T21:12:12.129586", | n | 65 | "metadata_modified": "2025-01-02T21:12:13.005044", |
66 | "name": "gta-cityscapes", | 66 | "name": "gta-cityscapes", | ||
67 | "notes": "The dataset used for extensive cut-and-paste augmentation | 67 | "notes": "The dataset used for extensive cut-and-paste augmentation | ||
68 | for unsupervised domain adaptive semantic segmentation.", | 68 | for unsupervised domain adaptive semantic segmentation.", | ||
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70 | "num_tags": 4, | 70 | "num_tags": 4, | ||
71 | "organization": { | 71 | "organization": { | ||
72 | "approval_status": "approved", | 72 | "approval_status": "approved", | ||
73 | "created": "2024-11-25T12:11:38.292601", | 73 | "created": "2024-11-25T12:11:38.292601", | ||
74 | "description": "", | 74 | "description": "", | ||
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76 | "image_url": "", | 76 | "image_url": "", | ||
77 | "is_organization": true, | 77 | "is_organization": true, | ||
78 | "name": "no-organization", | 78 | "name": "no-organization", | ||
79 | "state": "active", | 79 | "state": "active", | ||
80 | "title": "No Organization", | 80 | "title": "No Organization", | ||
81 | "type": "organization" | 81 | "type": "organization" | ||
82 | }, | 82 | }, | ||
83 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 83 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
84 | "private": false, | 84 | "private": false, | ||
85 | "relationships_as_object": [], | 85 | "relationships_as_object": [], | ||
86 | "relationships_as_subject": [], | 86 | "relationships_as_subject": [], | ||
t | 87 | "resources": [], | t | 87 | "resources": [ |
88 | { | ||||
89 | "cache_last_updated": null, | ||||
90 | "cache_url": null, | ||||
91 | "created": "2025-01-02T21:52:26", | ||||
92 | "data": [ | ||||
93 | "dcterms:title", | ||||
94 | "dcterms:accessRights", | ||||
95 | "dcterms:creator", | ||||
96 | "dcterms:description", | ||||
97 | "dcterms:issued", | ||||
98 | "dcterms:language", | ||||
99 | "dcterms:identifier", | ||||
100 | "dcat:theme", | ||||
101 | "dcterms:type", | ||||
102 | "dcat:keyword", | ||||
103 | "dcat:landingPage", | ||||
104 | "dcterms:hasVersion", | ||||
105 | "dcterms:format", | ||||
106 | "mls:task", | ||||
107 | "datacite:isDescribedBy" | ||||
108 | ], | ||||
109 | "description": "The json representation of the dataset with its | ||||
110 | distributions based on DCAT.", | ||||
111 | "format": "JSON", | ||||
112 | "hash": "", | ||||
113 | "id": "fb05faa7-9496-4c98-aba3-67809bf83f4d", | ||||
114 | "last_modified": "2025-01-02T21:12:12.997237", | ||||
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118 | "name": "Original Metadata", | ||||
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120 | "position": 0, | ||||
121 | "resource_type": null, | ||||
122 | "size": 899, | ||||
123 | "state": "active", | ||||
124 | "url": | ||||
125 | resource/fb05faa7-9496-4c98-aba3-67809bf83f4d/download/metadata.json", | ||||
126 | "url_type": "upload" | ||||
127 | } | ||||
128 | ], | ||||
88 | "services_used_list": "", | 129 | "services_used_list": "", | ||
89 | "state": "active", | 130 | "state": "active", | ||
90 | "tags": [ | 131 | "tags": [ | ||
91 | { | 132 | { | ||
92 | "display_name": "domain adaptation", | 133 | "display_name": "domain adaptation", | ||
93 | "id": "3c900934-0ab3-4ca7-8f25-6dba88c6bdf0", | 134 | "id": "3c900934-0ab3-4ca7-8f25-6dba88c6bdf0", | ||
94 | "name": "domain adaptation", | 135 | "name": "domain adaptation", | ||
95 | "state": "active", | 136 | "state": "active", | ||
96 | "vocabulary_id": null | 137 | "vocabulary_id": null | ||
97 | }, | 138 | }, | ||
98 | { | 139 | { | ||
99 | "display_name": "pseudo label self-refinement", | 140 | "display_name": "pseudo label self-refinement", | ||
100 | "id": "af57a44f-6a07-4e96-9973-5b114ce098d9", | 141 | "id": "af57a44f-6a07-4e96-9973-5b114ce098d9", | ||
101 | "name": "pseudo label self-refinement", | 142 | "name": "pseudo label self-refinement", | ||
102 | "state": "active", | 143 | "state": "active", | ||
103 | "vocabulary_id": null | 144 | "vocabulary_id": null | ||
104 | }, | 145 | }, | ||
105 | { | 146 | { | ||
106 | "display_name": "semantic segmentation", | 147 | "display_name": "semantic segmentation", | ||
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109 | "state": "active", | 150 | "state": "active", | ||
110 | "vocabulary_id": null | 151 | "vocabulary_id": null | ||
111 | }, | 152 | }, | ||
112 | { | 153 | { | ||
113 | "display_name": "unsupervised learning", | 154 | "display_name": "unsupervised learning", | ||
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115 | "name": "unsupervised learning", | 156 | "name": "unsupervised learning", | ||
116 | "state": "active", | 157 | "state": "active", | ||
117 | "vocabulary_id": null | 158 | "vocabulary_id": null | ||
118 | } | 159 | } | ||
119 | ], | 160 | ], | ||
120 | "title": "GTA\u2192Cityscapes", | 161 | "title": "GTA\u2192Cityscapes", | ||
121 | "type": "dataset", | 162 | "type": "dataset", | ||
122 | "version": "" | 163 | "version": "" | ||
123 | } | 164 | } |