1 概览 HTML, arXiv, Github, bilibili. 2023-07-23. (AI4Med Series) Knowledge-enhanced Multimodal Foundation Model in Medicine Abstract: While multi-modal foundation models pre-trained on large-scale …
To our knowledge, this is the first comprehensive structured pathology knowledge base; (ii) We develop a knowledge-enhanced visual-language pretraining approach, where we first project pathology-specific knowledge into latent embedding space via a language model, and use it to guide the visual ...
While multi-modal foundation models pre-trained on large-scale data have been successful in natural language understanding and vision recognition, their use in medical domains is still limited due to the fine-grained nature of medical tasks and the high demand for domain knowledge. To address this...
一个突出的模型是VisualBERT [48][Visualbert: A simple and performant baseline for vision and language],它倾向于将BERT架构纳入视觉信息。它利用大规模图像-文本数据集的预训练来共同学习视觉和文本模态的表示。VisualBERT通过利用大规模图像标题数据来学习对齐图像和文本。它使用屏蔽的令牌预测任务,其中视觉和文本...
Li, Y., Chen, X., Hu, B., Shi, H., Zhang, M.: Cognitive visual-language mapper: Advancing multimodal comprehension with enhanced visual knowledge alignment. arXiv:2402.13561 (2024) Li, Y., Hu, B., Shi, H., Wang, W., Wang, L., Zhang, M.: Visiongraph: Leveraging large multimod...
Knowledge-enhanced visual-language pre-training on chest radiology images Article Open access 28 July 2023 Introduction With the early success of deep learning for medical imaging1,2,3, the application of artificial intelligence (AI) for medical images has rapidly accelerated in recent years4,5,6...
By incorporating structured knowledge into our model training frameworks, our research lays the groundwork for more sophisticated applications. One example is enhanced image captioning, where visual language models gain the ability to describe the contents of photograp...
[arxiv] Knowledge Graph Enhanced Large Language Model Editing.2024.02 [arxiv] Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering.2024.02 [arxiv] Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge.2024.02 ...
The Knowledge and Language Team is part of the Azure Cognitive Services Research (CSR) group, focusing on cutting edge research and the development of the next generation framework for knowledge and natural language processing. We are working on: 1) Knowledge-enhanced Language Model, 2) Summarizati...
Knowledge-Enhanced Pre-trained Language Models (KEPLMs) have the potential to overcome the above-mentioned limitations. In this paper, we examine KEPLMs systematically through a series of studies. Specifically, we outline the common types and different formats of knowledge to be integrated into KEP...