IEEE

LiDAttack: Robust Black-Box Attack on LiDAR-Based Object Detection

Abstract: With the rise of autonomous driving, LiDAR-based object detection using deep neural networks (DNNs) has shown exceptional performance. However, DNNs are vulnerable to adversarial attacks, ...
GitHub

Object Detection Using OpenCV and Deep Learning

This project focuses on real-time object detection using pre-trained deep learning models with OpenCV. It demonstrates how to detect and classify objects in images or video streams using efficient and ...
IEEE

IPS-YOLO: Iterative Pseudo-Fully Supervised Training of YOLO for Weakly Supervised Object Detection in Remote Sensing Images

Abstract: Weakly supervised object detection (WSOD) in remote sensing images (RSIs) only requires image-level labels, greatly reducing the cost of manual annotations. Recently, the pseudo-fully ...
The Debrief

Breakthrough Experiments Show How to Detect Hidden Objects Like Submarines and Buried Treasure Using Physics

Scientists from the Institut Langevin in Paris and TU Wien in Vienna have developed a new technique for detecting hidden objects, such as buried treasure or submarines, using complex acoustical ...