Abstract: Detecting small objects in remote sensing images is highly challenging, primarily due to background noise interference and the limited semantic information of small objects. Although ...

This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

Spiking Neural Networks (SNNs), inspired by neuroscience principles, have gained attention for their energy efficiency. However, directly trained SNNs lag behind Artificial Neural Networks (ANNs) in ...

Community driven content discussing all aspects of software development from DevOps to design patterns. To do that, you need practice, and that’s what this collection of GH-300 GitHub Copilot practice ...

This project implements a robust YOLOv8 object detection model for identifying critical objects in space station environments using synthetic data from Duality AI's Falcon digital twin platform. The ...

Abstract: Multimodal remote sensing image object detection enhances detection accuracy by fusing complementary information from multimodal image data. However, complex environments significantly ...