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Related Questions
- What are some common challenges in training transformer models for multi-modal tasks, such as image-text matching?
- How do you handle the differences in modality between images and text in transformer-based models?
- What are some strategies for aligning the representations of images and text in a transformer model?
- Can you explain the concept of cross-modal attention in transformer models and its role in multi-modal tasks?
- How do you address the issue of domain shift in multi-modal tasks, where the distribution of images and text changes across different datasets?
- What are some techniques for incorporating external knowledge or prior information into a transformer model for multi-modal tasks?
- Can you discuss the challenges of training transformer models on imbalanced datasets, where one modality has a significantly larger number of samples than the other?
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