Advanced Technologies in Various Fields
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.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.