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 ...
Abstract: Recently, salient object detection (SOD) in optical remote sensing images, dubbed ORSI-SOD, has attracted increasing research interest. Although deep-based models have achieved impressive ...
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 ...
In southern Australia, a government agency is trialing the assistance of hardworking detection dogs to help locate a protected python species for improved conservation efforts, ABC News Australia ...
Abstract: Recently, anchor-based detectors can achieve decent performance in multimodal remote sensing scenarios, whereas their anchor-free counterparts fail to reach comparable results. To remedy ...
I’m currently working on a project that detects objects in floorplans. While the detection works, I’m trying to improve the model by training it further using feedback and corrections. However, I’ve ...
How can Alzheimer's disease be detected earlier? What prevention strategies are currently available, and where is research heading? These questions will take center stage at the final symposium of the ...
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