Questions and Answers
What is the challenge faced by models when fusing data from different modalities?
Treating each modality as having the same representation capacity
How does the proposed solution address the challenge of modality fusion?
By assigning a proofed weight to each modality based on importance
What are some factors that can lead to data nature conflicts when dealing with multiple sensors?
Data uncertainty and imbalance in object classification
In a smart home environment, what issue can arise when a sensor detects multiple objects at the same time?
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How can data imbalance, where some objects are detected more frequently than others, affect the model's accuracy?
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What is the main task that the proposed adaptive multimodal framework faces?
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How can Dempster-Shafer Theory contribute to multimodal fusion?
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What is the aim of the dynamic neural network model in the context of multimodal fusion?
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What distinguishes deep learning models in the context of modality fusion?
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How can different weights assigned to input modalities affect the data fusion results?
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