Learn how you can incorporate multimodal information into your machine-learning system
In this article, I will discuss how you can incorporate information from different modalities into your machine learning system. These modalities can be information like an image, text, or audio. It can also, for example, be several images of the same object taken from different angles. Adding information from different modalities gives the machine learning system more information to work with, which can, in turn, increase the performance of the system.
My motivation for this article is that I am currently working on a problem where I have information from two different modalities. The first modality is the visual information of a document, and the second modality is the text contained within the document. Separately, a machine learning system can achieve decent performance using only the visual data from the document or the textual data from the text in the document. However, if you are only using one of the two available modalities, you need to give machine learning all the information possible to achieve the best performance. Therefore, you should combine different modalities to ensure the best…
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