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Related Questions
- What are the key challenges in modality fusion, and how do they impact the accuracy of multimodal models?
- Can you explain the concept of late fusion vs. early fusion in modality fusion and their respective applications?
- How do techniques like attention mechanisms and weight sharing contribute to improved generalizability in multimodal models?
- What is the role of feature alignment and representation learning in modality fusion, and how do they enhance model performance?
- How do multimodal models handle concept drift and concept shift in real-world applications, and what techniques can mitigate these issues?
- Can you discuss the trade-offs between model complexity and generalizability in modality fusion, and how to balance these factors?
- What are some recent advances in modality fusion techniques, such as graph-based methods or explainable AI, and how do they improve generalizability?
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