Abstract: Object detection in event streams has emerged as a cutting-edge research area, demonstrating superior performance in low-light conditions, scenarios with motion blur, and rapid movements.

Introduced in the paper "Roboflow 100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models", RF100-VL is a large-scale collection of 100 multi-modal datasets with diverse concepts ...

Abstract: Underwater object detection using SONAR images is critical for marine conservation, environmental monitoring, waste management, and rescue operations. In this study, the authors apply ...

HEALTH IS MAKING SOME CHANGES TO ITS SECURITY PLANS. NEWS EIGHT’S MARCI WALSH IS HERE WITH MORE ON THE PLANS FOR A PRIVATE POLICE FORCE. MARCI. JERRY. LORI WELLSPAN SAYS THESE PLANS HAVE BEEN IN THE ...

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 ...

The Python Software Foundation warned users this week that threat actors are trying to steal their credentials in phishing attacks using a fake Python Package Index (PyPI) website. PyPI is a ...

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 ...

Tired of manually creating address objects one by one in your Palo Alto Networks firewall? There’s a better way! This comprehensive guide will show you how to leverage the power of the Pan-OS Python ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...