Abstract: Acquiring high-quality annotated data for medical image segmentation is tedious and costly. Semi-supervised segmentation techniques alleviate this burden by leveraging unlabeled data to ...

OpenAI claims that GPT Image 1.5 is four times faster than its predecessor and provides more precise editing results, 'so you ...

This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...

Abstract: Given a language expression, referring remote sensing image segmentation (RRSIS) aims to identify ground objects and assign pixelwise labels within the imagery. One of the key challenges for ...

ATLANTA – Secretary of State Brad Raffensperger has long contended that the Dominion Voting System machines the state uses are more accurate than paper ballots. Now, he has evidence to demonstrate ...

images which are input for this image. Each nifti image contains multiple 2D slices of a single scan. labelsTr contains the output for the corresponding input specifying where the tumor is localised.

(3) We manually generated four large reference databases as ground truth with the contributions of five experts in the domain of biology and image processing (segmentation and counting). (4) The ...