Abstract: Semantic segmentation of remote sensing images is crucial for disaster monitoring, urban planning, and land use. Due to scene complexity and multiscale features of targets, semantic ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Abstract: Medical image segmentation has made significant strides with the development of basic models. Specifically, models that combine CNNs with transformers can successfully extract both local and ...

The goal of the project is to inference a deep learning semantic segmentation model on a webcam video stream in Linux in order to remove background and provide a clean video stream with a person only.

The company is positioning it as especially good for enterprise use. The company is positioning it as especially good for enterprise use. is The Verge’s senior AI reporter. An AI beat reporter for ...

This project demonstrates instance segmentation using Mask R-CNN with the OpenCV DNN module. The model is pre-trained on the COCO dataset and can detect and segment multiple object classes in images.

A deepfake image of President Donald Trump that received millions of views on social media is the latest large-scale example of how generative artificial intelligence can be used to create falsehoods ...

What really happens after you hit enter on that AI prompt? WSJ’s Joanna Stern heads inside a data center to trace the journey and then grills up some steaks to show just how much energy it takes to ...