Abstract: Anomaly detection constitutes a ... We use a Variational Autoencoder (VAE) to reduce the dimensionality of video frames, and Optical Flows between subsequent images, generating a latent ...

This article introduces an Adversarial Regularized Graph Autoencoder (ARGAE) enhanced by a multiscale Chebyshev Convolutional (ChebConv) encoder (MSCE) (ARGAE-MSCE), designed for unsupervised anomaly ...

Researchers have designed a robust image-based anomaly detection (AD) framework with illumination enhancement and noise suppression features that can enhance the detection of subtle defects in low ...

Introduction: Precision agriculture relies on advanced technologies to optimize crop protection and resource utilization, ensuring sustainable and efficient farming practices. Anomaly detection plays ...

This repository will soon contain the code for our paper "ClimSat - A Diffusion Autoencoder Model for Climate-conditional Satellite Image Editing" published in Science of Remote Sensing in 2025.

You will be redirected to our submission process. The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection.

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.