A Practical Multimodal Fusion System With Uncertainty Modeling for Robust Visual and Affective Applications

A Practical Multimodal Fusion System With Uncertainty Modeling for Robust Visual and Affective Applications

Multimodal fusion models are widely applied in practical tasks such as image classification and sentiment analysis. However, real-world data often contain noisy or imbalanced modality inputs, significantly affecting the performance of traditional fusion methods. To address this challenge, we propose...

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Bibliographic Details
Main Authors: Lei Pan, Xingyu Han, Xiaoming Liu, Yang Liu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Multimodal fusion
uncertainty estimation
image classification
sentiment analysis
Online Access:https://ieeexplore.ieee.org/document/11127047/
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