SBCNews

GeoLocs: What matters most in GeoLocation

GeoLocation expert GeoLocs takes a deep dive in how the industry must address one of the key elements of any operation.
IEEE

Personalizing Vision-Language Models With Hybrid Prompts for Zero-Shot Anomaly Detection

Abstract: Zero-shot anomaly detection (ZSAD) aims to develop a foundational model capable of detecting anomalies across arbitrary categories without relying on reference images. However, since ...
Visual Studio Magazine

An Expert's Take on Advanced Data Visualization and Analytics

Expert consultant Greg Shulz said next-generation data visualization requires modernizing the full pipeline from data preparation through AI-governed analytics to interactive, story-driven presentatio ...
IEEE

Feature Consistency Learning for Anomaly Detection

Abstract: Anomaly detection in industrial images is a challenging automated vision inspection task. Given an input image, it is essential to know not only whether or not it is abnormal, but also to ...
GitHub

anomaly-detection

ROS-based Multisensor Fusion Digital Twin (MFDT) platform for real-time monitoring and defect detection of Laser-Directed Energy Deposition (L-DED) Additive Manufacturing (AM) process.
GitHub

Automated Quality Assessment and Anomaly Detection for Multi-Sensor Robotics Datasets

RoboQA-Temporal is an open-source, professional Python toolkit focused on automated quality assessment and anomaly detection for multi-sensor robotics datasets, with a special focus on ROS2 bag files.