Changes
On December 16, 2024 at 7:16:18 PM UTC,
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Changed value of field
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in Real-Time All-Purpose Segment Anything Model -
Changed value of field
doi_date_published
to2024-12-16
in Real-Time All-Purpose Segment Anything Model -
Added resource Original Metadata to Real-Time All-Purpose Segment Anything Model
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Shilin Xu", | 3 | "author": "Shilin Xu", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
7 | "defined_in": "https://doi.org/10.48550/arXiv.2401.10228", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2401.10228", | ||
8 | "doi": "10.57702/mhx97qjd", | 8 | "doi": "10.57702/mhx97qjd", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-16", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
n | 11 | "doi_status": false, | n | 11 | "doi_status": true, |
12 | "domain": "https://service.tib.eu/ldmservice", | 12 | "domain": "https://service.tib.eu/ldmservice", | ||
13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
15 | "extra_author": "Haobo Yuan", | 15 | "extra_author": "Haobo Yuan", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Qingyu Shi", | 19 | "extra_author": "Qingyu Shi", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Lu Qi", | 23 | "extra_author": "Lu Qi", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Jingbo Wang", | 27 | "extra_author": "Jingbo Wang", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "Yibo Yang", | 31 | "extra_author": "Yibo Yang", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | }, | 33 | }, | ||
34 | { | 34 | { | ||
35 | "extra_author": "Yining Li", | 35 | "extra_author": "Yining Li", | ||
36 | "orcid": "" | 36 | "orcid": "" | ||
37 | }, | 37 | }, | ||
38 | { | 38 | { | ||
39 | "extra_author": "Kai Chen", | 39 | "extra_author": "Kai Chen", | ||
40 | "orcid": "" | 40 | "orcid": "" | ||
41 | }, | 41 | }, | ||
42 | { | 42 | { | ||
43 | "extra_author": "Yunhai Tong", | 43 | "extra_author": "Yunhai Tong", | ||
44 | "orcid": "" | 44 | "orcid": "" | ||
45 | } | 45 | } | ||
46 | ], | 46 | ], | ||
47 | "groups": [ | 47 | "groups": [ | ||
48 | { | 48 | { | ||
49 | "description": "", | 49 | "description": "", | ||
50 | "display_name": "Image Segmentation", | 50 | "display_name": "Image Segmentation", | ||
51 | "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", | 51 | "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", | ||
52 | "image_display_url": "", | 52 | "image_display_url": "", | ||
53 | "name": "image-segmentation", | 53 | "name": "image-segmentation", | ||
54 | "title": "Image Segmentation" | 54 | "title": "Image Segmentation" | ||
55 | }, | 55 | }, | ||
56 | { | 56 | { | ||
57 | "description": "", | 57 | "description": "", | ||
58 | "display_name": "Video Segmentation", | 58 | "display_name": "Video Segmentation", | ||
59 | "id": "c96fadcb-3e8c-4ce6-abe8-1a388c84a991", | 59 | "id": "c96fadcb-3e8c-4ce6-abe8-1a388c84a991", | ||
60 | "image_display_url": "", | 60 | "image_display_url": "", | ||
61 | "name": "video-segmentation", | 61 | "name": "video-segmentation", | ||
62 | "title": "Video Segmentation" | 62 | "title": "Video Segmentation" | ||
63 | } | 63 | } | ||
64 | ], | 64 | ], | ||
65 | "id": "6cfeec4b-09db-4665-9c8f-e2cb3864c0a1", | 65 | "id": "6cfeec4b-09db-4665-9c8f-e2cb3864c0a1", | ||
66 | "isopen": false, | 66 | "isopen": false, | ||
67 | "landing_page": "https://xushilin1.github.io/rap_sam/", | 67 | "landing_page": "https://xushilin1.github.io/rap_sam/", | ||
68 | "license_title": null, | 68 | "license_title": null, | ||
69 | "link_orkg": "", | 69 | "link_orkg": "", | ||
70 | "metadata_created": "2024-12-16T19:16:17.346361", | 70 | "metadata_created": "2024-12-16T19:16:17.346361", | ||
n | 71 | "metadata_modified": "2024-12-16T19:16:17.346368", | n | 71 | "metadata_modified": "2024-12-16T19:16:17.784792", |
72 | "name": "real-time-all-purpose-segment-anything-model", | 72 | "name": "real-time-all-purpose-segment-anything-model", | ||
73 | "notes": "Advanced by transformer architecture, vision foundation | 73 | "notes": "Advanced by transformer architecture, vision foundation | ||
74 | models (VFMs) achieve remarkable progress in performance and | 74 | models (VFMs) achieve remarkable progress in performance and | ||
75 | generalization ability. Segment Anything Model (SAM) is one remarkable | 75 | generalization ability. Segment Anything Model (SAM) is one remarkable | ||
76 | model that can achieve generalized segmentation. However, most VFMs | 76 | model that can achieve generalized segmentation. However, most VFMs | ||
77 | cannot run in real-time, which makes it difficult to transfer them | 77 | cannot run in real-time, which makes it difficult to transfer them | ||
78 | into several products.", | 78 | into several products.", | ||
n | 79 | "num_resources": 0, | n | 79 | "num_resources": 1, |
80 | "num_tags": 3, | 80 | "num_tags": 3, | ||
81 | "organization": { | 81 | "organization": { | ||
82 | "approval_status": "approved", | 82 | "approval_status": "approved", | ||
83 | "created": "2024-11-25T12:11:38.292601", | 83 | "created": "2024-11-25T12:11:38.292601", | ||
84 | "description": "", | 84 | "description": "", | ||
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86 | "image_url": "", | 86 | "image_url": "", | ||
87 | "is_organization": true, | 87 | "is_organization": true, | ||
88 | "name": "no-organization", | 88 | "name": "no-organization", | ||
89 | "state": "active", | 89 | "state": "active", | ||
90 | "title": "No Organization", | 90 | "title": "No Organization", | ||
91 | "type": "organization" | 91 | "type": "organization" | ||
92 | }, | 92 | }, | ||
93 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 93 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
94 | "private": false, | 94 | "private": false, | ||
95 | "relationships_as_object": [], | 95 | "relationships_as_object": [], | ||
96 | "relationships_as_subject": [], | 96 | "relationships_as_subject": [], | ||
t | 97 | "resources": [], | t | 97 | "resources": [ |
98 | { | ||||
99 | "cache_last_updated": null, | ||||
100 | "cache_url": null, | ||||
101 | "created": "2024-12-16T18:25:40", | ||||
102 | "data": [ | ||||
103 | "dcterms:title", | ||||
104 | "dcterms:accessRights", | ||||
105 | "dcterms:creator", | ||||
106 | "dcterms:description", | ||||
107 | "dcterms:issued", | ||||
108 | "dcterms:language", | ||||
109 | "dcterms:identifier", | ||||
110 | "dcat:theme", | ||||
111 | "dcterms:type", | ||||
112 | "dcat:keyword", | ||||
113 | "dcat:landingPage", | ||||
114 | "dcterms:hasVersion", | ||||
115 | "dcterms:format", | ||||
116 | "mls:task", | ||||
117 | "datacite:isDescribedBy" | ||||
118 | ], | ||||
119 | "description": "The json representation of the dataset with its | ||||
120 | distributions based on DCAT.", | ||||
121 | "format": "JSON", | ||||
122 | "hash": "", | ||||
123 | "id": "b09e54a1-d4e2-4064-be40-a82bdf402c6f", | ||||
124 | "last_modified": "2024-12-16T19:16:17.777141", | ||||
125 | "metadata_modified": "2024-12-16T19:16:17.787665", | ||||
126 | "mimetype": "application/json", | ||||
127 | "mimetype_inner": null, | ||||
128 | "name": "Original Metadata", | ||||
129 | "package_id": "6cfeec4b-09db-4665-9c8f-e2cb3864c0a1", | ||||
130 | "position": 0, | ||||
131 | "resource_type": null, | ||||
132 | "size": 1189, | ||||
133 | "state": "active", | ||||
134 | "url": | ||||
135 | resource/b09e54a1-d4e2-4064-be40-a82bdf402c6f/download/metadata.json", | ||||
136 | "url_type": "upload" | ||||
137 | } | ||||
138 | ], | ||||
98 | "services_used_list": "", | 139 | "services_used_list": "", | ||
99 | "state": "active", | 140 | "state": "active", | ||
100 | "tags": [ | 141 | "tags": [ | ||
101 | { | 142 | { | ||
102 | "display_name": "Real-time segmentation", | 143 | "display_name": "Real-time segmentation", | ||
103 | "id": "fe816afd-7877-408d-9ae9-94012be7f8ab", | 144 | "id": "fe816afd-7877-408d-9ae9-94012be7f8ab", | ||
104 | "name": "Real-time segmentation", | 145 | "name": "Real-time segmentation", | ||
105 | "state": "active", | 146 | "state": "active", | ||
106 | "vocabulary_id": null | 147 | "vocabulary_id": null | ||
107 | }, | 148 | }, | ||
108 | { | 149 | { | ||
109 | "display_name": "Segmentation tasks", | 150 | "display_name": "Segmentation tasks", | ||
110 | "id": "0a824b09-d2bb-45c1-b313-2aa42bb1cb12", | 151 | "id": "0a824b09-d2bb-45c1-b313-2aa42bb1cb12", | ||
111 | "name": "Segmentation tasks", | 152 | "name": "Segmentation tasks", | ||
112 | "state": "active", | 153 | "state": "active", | ||
113 | "vocabulary_id": null | 154 | "vocabulary_id": null | ||
114 | }, | 155 | }, | ||
115 | { | 156 | { | ||
116 | "display_name": "Transformer-based models", | 157 | "display_name": "Transformer-based models", | ||
117 | "id": "cd9d6d15-dba5-4cad-8450-84d1495239fb", | 158 | "id": "cd9d6d15-dba5-4cad-8450-84d1495239fb", | ||
118 | "name": "Transformer-based models", | 159 | "name": "Transformer-based models", | ||
119 | "state": "active", | 160 | "state": "active", | ||
120 | "vocabulary_id": null | 161 | "vocabulary_id": null | ||
121 | } | 162 | } | ||
122 | ], | 163 | ], | ||
123 | "title": "Real-Time All-Purpose Segment Anything Model", | 164 | "title": "Real-Time All-Purpose Segment Anything Model", | ||
124 | "type": "dataset", | 165 | "type": "dataset", | ||
125 | "version": "" | 166 | "version": "" | ||
126 | } | 167 | } |