Advanced Technologies in Various Fields

Advanced Technologies in Various Fields is a research topic within Artificial Intelligence. Science Explorer counts 13k research works in it since 1951. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development and application of knowledge base graph embedding techniques for visual question answering models. It explores methods such as multi-scale relational networks, semantic representation, and deep learning for tasks including image classification, endoscope image mosaic, and haze prediction. The research also delves into spatial statistics and semantic reasoning to improve visual reasoning and feature extraction in the context of visual question answering.

• Graph Embedding
• Visual Question Answering
• Semantic Representation
• Multi-Scale Relational Network
• Deep Learning
• Image Classification
• Convolutional Neural Network
• Semantic Reasoning
• Endoscope Imaging
• Spatial Statistics