Im2Graph: A Weakly Supervised Approach for Generating Holistic Scene Graphs from Regional Dependencies Article Swipe
Swarnendu Ghosh
,
Teresa Gonçalves
,
Nibaran Das
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/fi15020070
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/fi15020070
Conceptual representations of images involving descriptions of entities and their relations are often represented using scene graphs. Such scene graphs can express relational concepts by using sets of triplets ⟨subject—predicate—object⟩. Instead of building dedicated models for scene graph generation, our model tends to extract the latent relational information implicitly encoded in image captioning models. We explored dependency parsing to build grammatically sound parse trees from captions. We used detection algorithms for the region propositions to generate dense region-based concept graphs. These were optimally combined using the approximate sub-graph isomorphism to create holistic concept graphs for images. The major advantages of this approach are threefold. Firstly, the proposed graph generation module is completely rule-based and, hence, adheres to the principles of explainable artificial intelligence. Secondly, graph generation can be used as plug-and-play along with any region proposition and caption generation framework. Finally, our results showed that we could generate rich concept graphs without explicit graph-based supervision.
Related Topics
Concepts
Computer science
Parsing
Conceptual graph
Scene graph
Theoretical computer science
Predicate (mathematical logic)
Closed captioning
Artificial intelligence
Graph isomorphism
Proposition
Graph
Image (mathematics)
Knowledge representation and reasoning
Line graph
Programming language
Rendering (computer graphics)
Philosophy
Epistemology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/fi15020070
- https://www.mdpi.com/1999-5903/15/2/70/pdf?version=1676016470
- OA Status
- gold
- Cited By
- 1
- References
- 55
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4319970255
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4319970255Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/fi15020070Digital Object Identifier
- Title
-
Im2Graph: A Weakly Supervised Approach for Generating Holistic Scene Graphs from Regional DependenciesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-10Full publication date if available
- Authors
-
Swarnendu Ghosh, Teresa Gonçalves, Nibaran DasList of authors in order
- Landing page
-
https://doi.org/10.3390/fi15020070Publisher landing page
- PDF URL
-
https://www.mdpi.com/1999-5903/15/2/70/pdf?version=1676016470Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/1999-5903/15/2/70/pdf?version=1676016470Direct OA link when available
- Concepts
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Computer science, Parsing, Conceptual graph, Scene graph, Theoretical computer science, Predicate (mathematical logic), Closed captioning, Artificial intelligence, Graph isomorphism, Proposition, Graph, Image (mathematics), Knowledge representation and reasoning, Line graph, Programming language, Rendering (computer graphics), Philosophy, EpistemologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1Per-year citation counts (last 5 years)
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55Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/1999-5903/15/2/70/pdf?version=1676016470 |
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| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Future Internet |
| primary_location.landing_page_url | https://doi.org/10.3390/fi15020070 |
| publication_date | 2023-02-10 |
| publication_year | 2023 |
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| abstract_inverted_index.be | 127 |
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| abstract_inverted_index.and | 8, 136 |
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| abstract_inverted_index.can | 20, 126 |
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| abstract_inverted_index.could | 146 |
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| abstract_inverted_index.region | 72, 134 |
| abstract_inverted_index.showed | 143 |
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| abstract_inverted_index.extract | 43 |
| abstract_inverted_index.graphs. | 16, 79 |
| abstract_inverted_index.images. | 95 |
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| abstract_inverted_index.parsing | 57 |
| abstract_inverted_index.results | 142 |
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| abstract_inverted_index.Finally, | 140 |
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| abstract_inverted_index.sub-graph | 87 |
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| cited_by_percentile_year.min | 90 |
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| citation_normalized_percentile.is_in_top_10_percent | False |