The Hidden Pitfall of Multimodal Fusion: Avoid Over-weighting a Single Modality
When working with multimodal fusion, it's essential to strike a balance between different input types to achieve accurate and robust results. One common pitfall to watch out for is over-weighting a single modality, such as images over text. This can lead to poor performance and biased outcomes.
Why is over-weighting a single modality a problem?
Imagine a scenario where you're developing a visual question-answering system that relies heavily on images. While images can be incredibly informative, they may not provide the complete picture. Textual information, on the other hand, can offer crucial context and nuances. If you over-weight the image modality, your system may neglect the valuable information in the text, leading to suboptimal performance.
What is Late Fusion, and how can it help?
To avoid this pitfall, consider using Late Fusion techniques, which combine outputs from separate mo...
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