Large language models (LLMs), such as the model underpinning the functioning of the well-known conversational platform ChatGPT, have proved to be very promising for summarizing and generating written ...

This is the official code of high-resolution representations for Semantic Segmentation. We augment the HRNet with a very simple segmentation head shown in the figure below.

The creation of a metric-semantic map, which encodes human-prior knowledge, represents a high-level abstraction of environments. However, constructing such a map poses challenges related to the fusion ...

Automated inference of diachronic and synchronic semantic maps based on causal inference.

Semantic SLAM models use deep neural networks to extract semantic information to build environment maps. By utilizing higher-level conceptualization of states grounded in cognitive meaning, these ...

Semantics = theory of meaning, yet most define semantic search with a focus on intent. “Meaning” is not the same as “intention.” Learn more.

Researchers have mapped hundreds of semantic categories to the tiny bits of the cortex that represent them in our thoughts and perceptions. What they discovered might change our view of memory.