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Related Questions
- What are the common techniques used to address modality fusion in multimodal deep learning models?
- Can you explain the challenges of fusing modalities with different data types, such as text and images?
- How do researchers use attention mechanisms to focus on relevant features from different modalities?
- What is the role of modality-specific feature extractors in modality fusion, and how do they impact the overall performance?
- How do researchers combine modalities with different temporal or spatial structures, such as video and audio?
- What are the potential applications of modality fusion in areas like computer vision, natural language processing, and robotics?
- Can you discuss the trade-offs between modality fusion and modality-specific processing in terms of computational resources and model complexity?
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