IEEE

Multiscale Gaussian Process-Driven Graph Convolutional Neural Network for Polarimetric SAR Image Classification

Abstract: By focusing on the structure exploration and information propagation from non-Euclidean data space, graph convolutional neural network (GCN), which can extract abundant and discriminative ...
Grit Daily

Data-Driven SEO: Insights From the Experts

This approach gave us a roadmap grounded entirely in real user intent and actual performance signals. It helped us focus our ...
PCMag

Real or AI? The 7 Telltale Signs Every Fake Image Still Can't Hide

As AI models produce increasingly lifelike images, these simple checks can help you distinguish between reality and digital ...

The CZUR ET24 Pro isn’t a perfect book scanner, but those who need one don’t have many choices

The CZUR ET24 Pro can scan any documents up to A3 size (16.5” x 11.7”), making it suitable for the majority of book scanning ...
IEEE

Enhanced Data Augmentation for Infrared Images With Generative Adversarial Networks Aided by Pretrained Models

Abstract: Infrared imaging emerges as a promising technique for vision tasks within environments characterized by low or obscured visibility. However, the scarcity of infrared datasets, particularly ...
GitHub

WORLD-TO-IMAGE: GROUNDING TEXT-TO-IMAGE GENERATION WITH AGENT-DRIVEN WORLD KNOWLEDGE

This is the official repository of "WORLD-TO-IMAGE: GROUNDING TEXT-TO-IMAGE GENERATION WITH AGENT-DRIVEN WORLD KNOWLEDGE" ...