Abstract: Instance segmentation of remote sensing images (RSIs) is an essential task for a wide range of applications such as land planning and intelligent transport. Instance segmentation of RSIs is ...

Abstract: State-of-the-art (SOTA) methods for cell instance segmentation are based on deep learning (DL) semantic segmentation approaches, focusing on distinguishing foreground pixels from background ...

Imagine this: you’re in the middle of an important project, juggling deadlines, and collaborating with a team scattered across time zones. Suddenly, your computer crashes, and hours of work vanish in ...

I'm interested in using Coconut for semantic segmentation. I'm looking at the semantic segmentation tutorial. Is it normal that, in the configuration in the conf folder, only instance segmentation and ...

Robbie has been an avid gamer for well over 20 years. During that time, he's watched countless franchises rise and fall. He's a big RPG fan but dabbles in a little bit of everything. Writing about ...

Codebase for supervised segmentation of vasculature in 3D HiP-CT volumes using a 2.5D U-Net (stacked slices as colour channels with 2D convolutions). This repository adapts and refactors the Team-1 ...