Abstract: This paper presents an enhanced approach to real-time object detection, addressing challenges such as movement dynamics and environmental variability. The proposed method employs transfer ...

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 ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

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 ...

College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China With the growing demand for marine surveillance and resource management, accurate ...

A Python library to evaluate mean Average Precision(mAP) for object detection. Provides the same output as PASCAL VOC's matlab code. You can now build a custom Mask RCNN model using Tensorflow Object ...