Advances And Challenges In Multimodal Machine Learning

This article discusses the challenges and progress in the field of multimodal machine learning, specifically in the areas of representation, translation, alignment, fusion, and co-learning. It also highlights the need for cross-modal retrieval methods and lifelong learning models to efficiently handle the growing volume of data.