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This paper reviews the advancements in multimodal intelligence, focusing on representation learning, information fusion, and applications involving vision and natural language processing. It analyzes key concepts such as embedding techniques, fusion architectures, and various applications like image captioning and visual question answering. The review aims to facilitate future research in the emerging field of multimodal intelligence by providing a structured overview of current methodologies and challenges

Author

7v9gd9yrz2

Language

EN