IEEE

SV-RCNN: Robust Structural-Encoded Voxel Features for 3D Object Detection on Sparse Point Clouds

Abstract: 3D object detection in LiDAR point clouds faces significant challenges in sparse point clouds and unfamiliar environments. Existing methods often rely on simple multi-layer perceptrons or ...
GitHub

Pushkkaarr/Weapon-Detection-Using-Fast-R-CNN

This project is a computer vision system designed to detect weapons in video streams or files. It is intended to enhance public safety by identifying dangerous objects such as firearms in real-time or ...
CSOonline

Meet LockBit 5.0: Faster ESXi drive encryption, better at evading detection

Researchers call it an evolution from earlier versions and not a leap forward, but still advise CSOs to better secure ESXi hosts. The LockBit gang has released a new version of its ransomware with ...
GitHub

Real-Time Object Detection Meets DINOv3

DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...
Hosted on MSN

How to Frame a Loft Floor Faster Stronger Better

Expert DIYer April Wilkerson frames a loft floor using faster and stronger methods for better results. What Jimmy Kimmel said on his first night back after suspension over Charlie Kirk comments Trump ...
IEEE

Crime Scene Object Detection for Forensic Investigations Using Faster R-CNN and YOLOv5 Models

Abstract: More and more complex and numerous are the forensic findings required while investigating the crime scene, it is important to address the need for technological enhancements for the crime ...
Frontiers

MLVI-CNN: a hyperspectral stress detection framework using machine learning-optimized indices and deep learning for precision agriculture

Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...