In this paper, we propose a high-robust and cost-effective visual localization system, which jointly exploits the semantic information of Bird’s-Eye-View (BEV) representation from multi-view images ...

The data the team had access to represent an average of the subjects’ brain activity, so future research could look to map ...

Older models struggled with depth issues in 2D images, but the novel neural network handles these problems with ease.

Google Maps and Waze have a lot of things in common, which makes sense considering Google is responsible for them both. But no matter how many updates happen, and how small the gap becomes ...

A semantic layer hides the complexity of the data and maps it to business definitions, logic, and relationships. It allows business users to conduct self-serve analytics using standard terms like ...

Abstract: This paper presents a real-time semantic video communication method for general scenes, combining lossy semantic map coding with motion compensation to achieve reduced bit rates while ...

A technical problem known as “memorization” is at the heart of recent lawsuits that pose a significant threat to generative-AI companies.

The quickest way to get started with the basics is to get an API key from either OpenAI or Azure OpenAI and to run one of the Java console applications/scripts below ...

txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows. Embeddings databases are a union of vector indexes (sparse and dense), graph networks ...