Abstract: Single-Domain Generalization Object Detection (Single-DGOD) refers to training a model with only one source domain, enabling the model to generalize to any unseen domain. For instance, a ...

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

Python turns 32. Explore 32 practical Python one-liners that show why readability, simplicity, and power still define the ...

Astronomers have detected one of the darkest objects ever seen at a record cosmic distance—only with the assistance of gravity. The discovery is an important step toward the observation of dark matter ...

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 ...

Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...

A simple yet powerful real-time object detection system using YOLOv3 and OpenCV. This project demonstrates the integration of deep learning with computer vision to detect and classify objects from ...

Abstract: Object detection in remote sensing images differs from general object detection in that it faces numerous challenges, such as false alarm interference. However, conventional object detection ...

In recent years, underwater object detection (UOD) has become a prominent research area in the computer vision community. However, existing UOD approaches are still vulnerable to underwater ...

when i run the python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config..... (tf) D:\Anaconda\envs\tf ...