GitHub

Prometheus Time Series Anomaly Detection with LSTM Autoencoder

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...
IEEE

SMN-YOLO: Lightweight YOLOv8-Based Model for Small Object Detection in Remote Sensing Images

Abstract: The remote sensing image object detection has advanced significantly; yet, small object detection remains challenging due to their limited size and varying scales. Furthermore, real-world ...
IEEE

IFENet: Interaction, Fusion, and Enhancement Network for V-D-T Salient Object Detection

Abstract: Visible-depth-thermal (VDT) salient object detection (SOD) aims to highlight the most visually attractive object by utilizing the triple-modal cues. However, existing models don’t give ...
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 ...
Bleeping Computer

New Android malware uses AI to click on hidden browser ads

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...