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.

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: Unsupervised domain adaptation (UDA) techniques are vital for semantic segmentation in geosciences ... modules are proposed to decompose feature maps into high- and low-frequency components ...