Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "access_rights": "",
2
  "access_rights": "",
            
3
  "author": "Hamid Hekmatian",
3
  "author": "Hamid Hekmatian",
            
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.1907.10148",
7
  "defined_in": "https://doi.org/10.48550/arXiv.1907.10148",
            
8
  "doi": "10.57702/3xze7omr",
8
  "doi": "10.57702/3xze7omr",
            
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": "Jingfu Jin",
15
      "extra_author": "Jingfu Jin",
            
16
      "orcid": ""
16
      "orcid": ""
            
17
    },
17
    },
            
18
    {
18
    {
            
19
      "extra_author": "Samir Al-Stouhi",
19
      "extra_author": "Samir Al-Stouhi",
            
20
      "orcid": ""
20
      "orcid": ""
            
21
    }
21
    }
            
22
  ],
22
  ],
            
23
  "groups": [
23
  "groups": [
            
24
    {
24
    {
            
25
      "description": "",
25
      "description": "",
            
26
      "display_name": "3D Point Cloud",
26
      "display_name": "3D Point Cloud",
            
27
      "id": "82ab1d7f-7c5b-4c05-bd5a-ee187f5afdae",
27
      "id": "82ab1d7f-7c5b-4c05-bd5a-ee187f5afdae",
            
28
      "image_display_url": "",
28
      "image_display_url": "",
            
29
      "name": "3d-point-cloud",
29
      "name": "3d-point-cloud",
            
30
      "title": "3D Point Cloud"
30
      "title": "3D Point Cloud"
            
31
    },
31
    },
            
32
    {
32
    {
            
33
      "description": "",
33
      "description": "",
            
34
      "display_name": "Depth Completion",
34
      "display_name": "Depth Completion",
            
35
      "id": "0ac687d6-5fb8-4b0d-9867-e78e6b201933",
35
      "id": "0ac687d6-5fb8-4b0d-9867-e78e6b201933",
            
36
      "image_display_url": "",
36
      "image_display_url": "",
            
37
      "name": "depth-completion",
37
      "name": "depth-completion",
            
38
      "title": "Depth Completion"
38
      "title": "Depth Completion"
            
39
    }
39
    }
            
40
  ],
40
  ],
            
41
  "id": "5731069b-82d4-4e6e-8e35-68f7315d5d29",
41
  "id": "5731069b-82d4-4e6e-8e35-68f7315d5d29",
            
42
  "isopen": false,
42
  "isopen": false,
            
43
  "landing_page": "http://github.com/hekmak/Conf-net",
43
  "landing_page": "http://github.com/hekmak/Conf-net",
            
44
  "license_title": null,
44
  "license_title": null,
            
45
  "link_orkg": "",
45
  "link_orkg": "",
            
46
  "metadata_created": "2024-12-16T23:05:00.753430",
46
  "metadata_created": "2024-12-16T23:05:00.753430",
            
n
47
  "metadata_modified": "2024-12-16T23:05:00.753435",
n
47
  "metadata_modified": "2024-12-16T23:05:01.278692",
            
48
  "name": 
48
  "name": 
            
49
toward-high-con-dence-dense-3d-point-cloud-with-error-map-prediction",
49
toward-high-con-dence-dense-3d-point-cloud-with-error-map-prediction",
            
50
  "notes": "This work proposes a method for depth completion of sparse 
50
  "notes": "This work proposes a method for depth completion of sparse 
            
51
LiDAR data using a convolutional neural network which can be used to 
51
LiDAR data using a convolutional neural network which can be used to 
            
52
generate semi-dense depth maps and 3D point-clouds with significantly 
52
generate semi-dense depth maps and 3D point-clouds with significantly 
            
53
lower root mean squared error (RMSE) over state-of-the-art methods.",
53
lower root mean squared error (RMSE) over state-of-the-art methods.",
            
n
54
  "num_resources": 0,
n
54
  "num_resources": 1,
            
55
  "num_tags": 3,
55
  "num_tags": 3,
            
56
  "organization": {
56
  "organization": {
            
57
    "approval_status": "approved",
57
    "approval_status": "approved",
            
58
    "created": "2024-11-25T12:11:38.292601",
58
    "created": "2024-11-25T12:11:38.292601",
            
59
    "description": "",
59
    "description": "",
            
60
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
60
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
61
    "image_url": "",
61
    "image_url": "",
            
62
    "is_organization": true,
62
    "is_organization": true,
            
63
    "name": "no-organization",
63
    "name": "no-organization",
            
64
    "state": "active",
64
    "state": "active",
            
65
    "title": "No Organization",
65
    "title": "No Organization",
            
66
    "type": "organization"
66
    "type": "organization"
            
67
  },
67
  },
            
68
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
68
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
69
  "private": false,
69
  "private": false,
            
70
  "relationships_as_object": [],
70
  "relationships_as_object": [],
            
71
  "relationships_as_subject": [],
71
  "relationships_as_subject": [],
            
t
72
  "resources": [],
t
72
  "resources": [
            
73
    {
            
74
      "cache_last_updated": null,
            
75
      "cache_url": null,
            
76
      "created": "2024-12-16T23:37:09",
            
77
      "data": [
            
78
        "dcterms:title",
            
79
        "dcterms:accessRights",
            
80
        "dcterms:creator",
            
81
        "dcterms:description",
            
82
        "dcterms:issued",
            
83
        "dcterms:language",
            
84
        "dcterms:identifier",
            
85
        "dcat:theme",
            
86
        "dcterms:type",
            
87
        "dcat:keyword",
            
88
        "dcat:landingPage",
            
89
        "dcterms:hasVersion",
            
90
        "dcterms:format",
            
91
        "mls:task",
            
92
        "datacite:isDescribedBy"
            
93
      ],
            
94
      "description": "The json representation of the dataset with its 
            
95
distributions based on DCAT.",
            
96
      "format": "JSON",
            
97
      "hash": "",
            
98
      "id": "e52c5f9f-e10a-405b-a2b3-37ee3f296668",
            
99
      "last_modified": "2024-12-16T23:05:01.271078",
            
100
      "metadata_modified": "2024-12-16T23:05:01.281932",
            
101
      "mimetype": "application/json",
            
102
      "mimetype_inner": null,
            
103
      "name": "Original Metadata",
            
104
      "package_id": "5731069b-82d4-4e6e-8e35-68f7315d5d29",
            
105
      "position": 0,
            
106
      "resource_type": null,
            
107
      "size": 957,
            
108
      "state": "active",
            
109
      "url": 
            
110
resource/e52c5f9f-e10a-405b-a2b3-37ee3f296668/download/metadata.json",
            
111
      "url_type": "upload"
            
112
    }
            
113
  ],
            
73
  "services_used_list": "",
114
  "services_used_list": "",
            
74
  "state": "active",
115
  "state": "active",
            
75
  "tags": [
116
  "tags": [
            
76
    {
117
    {
            
77
      "display_name": "3D Point-Cloud",
118
      "display_name": "3D Point-Cloud",
            
78
      "id": "d82b174c-7848-4cfc-9882-eeb333f05131",
119
      "id": "d82b174c-7848-4cfc-9882-eeb333f05131",
            
79
      "name": "3D Point-Cloud",
120
      "name": "3D Point-Cloud",
            
80
      "state": "active",
121
      "state": "active",
            
81
      "vocabulary_id": null
122
      "vocabulary_id": null
            
82
    },
123
    },
            
83
    {
124
    {
            
84
      "display_name": "Depth Completion",
125
      "display_name": "Depth Completion",
            
85
      "id": "ba9db467-b8b7-418d-b25e-272421e7e3d4",
126
      "id": "ba9db467-b8b7-418d-b25e-272421e7e3d4",
            
86
      "name": "Depth Completion",
127
      "name": "Depth Completion",
            
87
      "state": "active",
128
      "state": "active",
            
88
      "vocabulary_id": null
129
      "vocabulary_id": null
            
89
    },
130
    },
            
90
    {
131
    {
            
91
      "display_name": "LiDAR",
132
      "display_name": "LiDAR",
            
92
      "id": "d3e5e683-df2e-4a64-84a0-93185f5f806e",
133
      "id": "d3e5e683-df2e-4a64-84a0-93185f5f806e",
            
93
      "name": "LiDAR",
134
      "name": "LiDAR",
            
94
      "state": "active",
135
      "state": "active",
            
95
      "vocabulary_id": null
136
      "vocabulary_id": null
            
96
    }
137
    }
            
97
  ],
138
  ],
            
98
  "title": "Conf-Net: Toward High-Con\ufb01dence Dense 3D Point-Cloud 
139
  "title": "Conf-Net: Toward High-Con\ufb01dence Dense 3D Point-Cloud 
            
99
with Error-Map Prediction",
140
with Error-Map Prediction",
            
100
  "type": "dataset",
141
  "type": "dataset",
            
101
  "version": ""
142
  "version": ""
            
102
}
143
}