Take charge of your advertising with Performance Max. Learn to segment products and enhance your campaign performance ...

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 ...

Hamza is a gaming enthusiast and a Writing Specialist from Pakistan. A firm believer in Keyboard/Mouse supremacy, he will play Tekken with WASD if you let him. He has been writing about games since ...

I’m fine-tuning an instance segmentation model for multiple defect categories (industrial defects) on a dataset with a high proportion of background-only images. Some augmentations (e.g., random crops ...

In today’s competitive market, companies must rethink how they connect with customers. Market segmentation—the practice of dividing a broad market into subgroups based onshared characteristics—has ...

This project implements a machine learning model based on the UNet architecture for nuclei instance segmentation. It was developed as part of a university project. Nuclei instance segmentation plays a ...