Vietnamese Multimodal Learning

Vietnamese Multimodal Learning is a research field that integrates computer vision and natural language processing technologies. Its aim is to achieve deep understanding and generation of Vietnamese language and related visual information through the fusion and analysis of multimodal data. The goal of this field is to develop intelligent systems capable of processing various types of data, including images, videos, and text, to enhance the accuracy and efficiency of applications such as cross-modal information retrieval, sentiment analysis, machine translation, and content generation, making it of significant academic and practical value.