Abstract: With the rapid advancement of sixth-generation (6G) communications, uncrewed aerial vehicle (UAV) swarms have emerged as a key application scenario. However, their high mobility and complex ...
This is the official code to reproduce the experiments in the paper AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2, accepted at IEEE/CVF Winter Conference on Applications of ...
Abstract: Railway intrusion detection is very important for maintaining the safety of railway operations. The detection method based on LiDAR point cloud is widely used in railway intrusion detection, ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...
AI vs Ransom: Ransomware threats and cloud storage can quickly become a dangerous combination. When malware encrypts files stored on internet servers, users and organizations are often left without an ...