Exploring a multimodal fusion-based deep learning network for detecting facial palsy
Algorithmic detection of facial palsy offers the potential to improve current practices, which usually involve labor-intensive and subjective assessment by clinicians. In this paper, we present a multimodal fusion-based deep learning model that utilizes unstructured data (i.e. an image frame with fa...
Saved in:
Main Authors: | OO, Heng Yim Nicole, LEE, Min Hun, LIM, J. H. |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2024
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/9958 https://ink.library.smu.edu.sg/context/sis_research/article/10958/viewcontent/2405.16496v1.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Sentic maxine: Multimodal affective fusion and emotional paths
by: Hupont, I., et al.
Published: (2014) -
Fusion of multimodal embeddings for ad-hoc video search
by: FRANCIS, Danny, et al.
Published: (2019) -
Towards robust and efficient multimodal representation learning and fusion
by: Guo, Xiaobao
Published: (2025) -
Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics
by: Cambria, E., et al.
Published: (2014) -
Structure-aware multimodal feature fusion for RGB-D scene classification and beyond
by: Wang, Anran, et al.
Published: (2020)