Multi-Representation Joint Dynamic Domain Adaptation Network for Cross-Database Facial Expression Recognition Article Swipe
Jingjie Yan
,
Yuebo Yue
,
Kai Yu
,
Xiaoyang Zhou
,
Ying Liu
,
Jinsheng Wei
,
Yuan Yang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/electronics13081470
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/electronics13081470
In order to obtain more fine-grained information from multiple sub-feature spaces for domain adaptation, this paper proposes a novel multi-representation joint dynamic domain adaptation network (MJDDAN) and applies it to achieve cross-database facial expression recognition. The MJDDAN uses a hybrid structure to extract multi-representation features and maps the original facial expression features into multiple sub-feature spaces, aligning the expression features of the source domain and target domain in multiple sub-feature spaces from different angles to extract features more comprehensively. Moreover, the MJDDAN proposes the Joint Dynamic Maximum Mean Difference (JD-MMD) model to reduce the difference in feature distribution between different subdomains by simultaneously minimizing the maximum mean difference and local maximum mean difference in each substructure. Three databases, including eNTERFACE, FABO, and RAVDESS, are used to design a large number of cross-database transfer learning facial expression recognition experiments. The accuracy of emotion recognition experiments with eNTERFACE, FABO, and RAVDESS as target domains reach 53.64%, 43.66%, and 35.87%, respectively. Compared to the best comparison method chosen in this article, the accuracy rates were improved by 1.79%, 0.85%, and 1.02%, respectively.
Related Topics
Concepts
Substructure
Feature (linguistics)
Computer science
Pattern recognition (psychology)
Database
Representation (politics)
Expression (computer science)
Artificial intelligence
Facial expression
Domain (mathematical analysis)
Joint (building)
Adaptation (eye)
Mathematics
Engineering
Law
Politics
Structural engineering
Architectural engineering
Programming language
Philosophy
Optics
Mathematical analysis
Linguistics
Political science
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics13081470
- https://www.mdpi.com/2079-9292/13/8/1470/pdf?version=1712923381
- OA Status
- gold
- Cited By
- 2
- References
- 53
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394748812
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4394748812Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/electronics13081470Digital Object Identifier
- Title
-
Multi-Representation Joint Dynamic Domain Adaptation Network for Cross-Database Facial Expression RecognitionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-12Full publication date if available
- Authors
-
Jingjie Yan, Yuebo Yue, Kai Yu, Xiaoyang Zhou, Ying Liu, Jinsheng Wei, Yuan YangList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics13081470Publisher landing page
- PDF URL
-
https://www.mdpi.com/2079-9292/13/8/1470/pdf?version=1712923381Direct 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/2079-9292/13/8/1470/pdf?version=1712923381Direct OA link when available
- Concepts
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Substructure, Feature (linguistics), Computer science, Pattern recognition (psychology), Database, Representation (politics), Expression (computer science), Artificial intelligence, Facial expression, Domain (mathematical analysis), Joint (building), Adaptation (eye), Mathematics, Engineering, Law, Politics, Structural engineering, Architectural engineering, Programming language, Philosophy, Optics, Mathematical analysis, Linguistics, Political science, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1Per-year citation counts (last 5 years)
- References (count)
-
53Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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