Overview This repository contains an implementation of an AutoEncoder with UNET architecture for detecting medical defects in scans. The combination of AutoEncoders and UNET provides a powerful ...

This repository contains 1D and 2D Signal Segmentation Model Builder for UNet and several of its variants developed in KERAS-Tensorflow. The code supports Deep Supervision, Autoencoder mode and other ...

Most existing hyperspectral anomaly detection methods are developed and validated on numerical datasets, focusing on simulations rather than practical applications. To bridge this gap, we introduce an ...

The concept of autoencoder was originally proposed by LeCun in 1987, early works on autoencoder were used for dimensionality reduction or feature learning. Recently, with the popularity of deep ...