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Related Questions
- What are the key challenges associated with multimodal fusion in NLP and CV tasks?
- How does multimodal fusion improve the accuracy of sentiment analysis in text and image datasets?
- Can you explain the concept of late fusion and early fusion in multimodal fusion and their applications?
- What are some common techniques used for feature extraction in multimodal fusion, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs)?
- How does multimodal fusion impact the robustness of NLP and CV models to out-of-domain data and noise?
- What are some real-world applications of multimodal fusion in fields such as healthcare, finance, and customer service?
- Can you discuss the role of attention mechanisms in multimodal fusion and their benefits in improving model performance?
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