This repository demonstrates a simple autoencoder model for compressing and reconstructing images. The autoencoder is built using TensorFlow and Keras and is trained on a dataset of images to learn a ...

This repository contains a convolutional autoencoder for denoising images, specifically using the MNIST dataset. This project demonstrates how to implement a deep convolutional autoencoder for image ...

Abstract: Different applications in remote sensing, such as crop monitoring and visual surveillance ... In this letter, we present a fully convolutional Siamese autoencoder method for change detection ...

Abstract: In this paper, we treat the image generation task using an autoencoder, a representative latent model. Unlike many studies regularizing the latent variable’s distribution by assuming a ...

and their abundance maps for each ROI are selected in the HSI2 image. Finally, we propose the best configuration and settings for the hyperparameters. The main contributions are summarized as follows: ...