Abstract: Space noncooperative object detection (SNCOD) is an essential part of space situation awareness. The localization and segmentation capabilities of the salient object detection (SOD) method ...

Learn simple magic tricks using everyday objects you already have. These easy techniques are designed for beginners and focus on clear moves, natural handling, and strong visual effects that anyone ...

US Secretary of State Marco Rubio has directed the State Department to go back to using Times New Roman typeface as the standard for official papers, a spokesperson told CNN, in a reversal of the ...

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 ...

Background: Accurate diagnosis of anterior cruciate ligament (ACL) tears on magnetic resonance imaging (MRI) is critical for timely treatment planning. Deep learning (DL) approaches have shown promise ...

Abstract: This study proposes a feature-enhanced Faster R-CNN algorithm to address the challenges of dense targets, varying object shapes, and complex backgrounds in remote sensing image detection.

I tried using DINOv3 as the pre-trained model for the detector and encountered an issue. When defining the Transformer, self.reference_points（not two-stage） is initialized as follows: if two_stage: ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Spending hours manually creating address objects on your Palo Alto Networks firewall? There’s a smarter, faster way! This guide will show you how to leverage the Pan-OS REST API and Python to automate ...