Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed ...

Recently, autoencoder (AE)-based hyperspectral anomaly detection methods have demonstrated excellent performance on hyperspectral images (HSIs). The AE can simultaneously reconstruct both the anomaly ...

CNN-based adversarial machine learning models are proposed to drive the innovation of anomaly detection techniques under Industry 5.0. However, the generalization inherent in the model is inadequate ...

SpaceX confirmed the Starship, numbered Ship 36 in the company's inventory, "experienced a major anomaly" on a test stand as the vehicle prepared to ignite its six Raptor engines for a static fire ...

I'm delighted to share that João P C Bertoldo and I presented our paper and poster "Gaussian Image Anomaly Detection with Greedy Eigencomponent Selection" at the International Conference on ...

🔍 Anomaly Detection with Teachable Machine A lightweight image anomaly detection app built with Teachable Machine, TensorFlow, and Streamlit. Upload or scan product images to classify them as Normal ...