IEEE

Graph Optimization via Decoupled Edge Tuning for Efficient Industrial Anomaly Detection

Abstract: GNN-based anomaly detection is one of the most critical security strategies protecting industrial control systems (ICSs) from external attacks. Existing studies mainly focus on how to ...
IEEE

LightSTATE: A Generalized Framework for Real-Time Human Activity Detection Using Edge-Based Video Processing and Vision Language Models

Abstract: Human activity detection plays a vital role in applications such as healthcare monitoring, smart environments, and security surveillance. However, traditional methods often rely on ...
Learn With Jay on MSN

Real-time facial landmark detection using OpenCV & MediaPipe

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in ...
GitHub

ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection

This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...