This project provides the image datasets and codes used in the paper “Deep learning for three-dimensional segmentation of electron microscopy images of complex ...

This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models. The aim is ...

Abstract: The detection of natural disasters is a critical step in supporting Sustainable Development Goal (SDG) 15. In this letter, we introduce a novel segmentation method to identify the areas ...

New AI visual perception framework combining DINOv3 and Mask2Former tops 56 teams in GOOSE 2D semantic segmentation at the ICRA 2026 field robotics workshop ...

Abstract: Intelligent seismic facies segmentation has recently gained significant attention, particularly with the application of deep learning technologies. However, existing methods face ...

Doctors at central Ohio’s major hospital systems say artificial intelligence is helping them see more than they could before.

A joint Korean-American research team has taken first place at the world's most prestigious robotics conference, defeating 56 ...

Researchers have discovered two vulnerabilities in the widely used Cursor AI-enabled integrated development environment (IDE) ...

MetaLight Inc. ("MetaLight" or the "Company"; Stock Code: 02605.HK), a public transit information service provider powered by time series data analytics and AI technology, today announced that a ...