Abstract: Semantic segmentation consists of predicting a semantic label for each image pixel. While existing deep learning approaches achieve high accuracy, they often overlook the ordinal ...

In this study, we present a building-level functional map of China, covering 110 million individual buildings across 109 cities using 69 terabytes of multi-modal satellite imagery. The national-scale ...

When it comes to market segmentation, I don’t see truly well-documented cases often. At a more simplistic level, we think of classic matrices such as BCG or McKinsey’s. But the real exercise of ...

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 ...

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

Soon to be the official tool for managing Python installations on Windows, the new Python Installation Manager picks up where the ‘py’ launcher left off. Python is a first-class citizen on Microsoft ...

Brands chasing growth through new segments often alienate their most loyal customers. Here’s how to manage segment conflict before it breaks your brand. Segment conflicts matter. Customer segments ...

Smarter segmentation starts now. AI connects scattered customer data to allow more precise, real-time audience targeting across every channel. Online meets offline. Linking digital behavior with ...

Abstract: Semantic segmentation is a critical process in remote sensing image analysis, supporting various applications. The recent development of the segment anything model (SAM), a visual foundation ...