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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11127047/ |
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