The adoption of the FAIR model was pivotal in transforming our cybersecurity strategy into a measurable, business-aligned ...

Discover how effective market segmentation identifies profitable customers and optimizes pricing, distribution, and product ...

Discover how geographical pricing affects sales by adjusting for shipping, demand, and taxes based on buyer location, plus insights into effective pricing strategies.

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

New VOS project: Putting the Object Back into Video Object Segmentation: https://github.com/hkchengrex/Cutie We frame Video Object Segmentation (VOS), first and ...

Gone are the days when organizations can rely on open wireless access and securing only IT-issued devices with cloud-based ...

We tend to break things down into smaller components to make remembering easier. Event Segmentation Theory explains how we do ...

Abstract: Over the past few years, deep convolutional neural network-based methods have made great progress in semantic segmentation of street scenes. Some recent methods align feature maps to ...

Abstract: U-net is an image segmentation technique developed primarily for image segmentation tasks. These traits provide U-net with a high utility within the medical imaging community and have ...

This repository contains the code and datasets for Self-supervised Leaf Segmentation Under Complex Lighting Conditions. Intended for growth monitoring in a real-world smart greenhouse environment, ...