This model was employed to examine the feasibility of machine learning-powered monitoring of road infrastructure health. This effort contributes to "Use Of Remote Sensing And Machine Learning ...

It uses deep learning to train the network and has been applied in image reconstruction successfully. However, one important problem in auto encoder application is how to find the best architecture of ...

Abstract: The use of autoencoder models for image and video compression have been explored ... We implemented and evaluated two autoencoder models: one using a symmetric encoder/decoder architecture, ...

U-Net based autoencoder network take visible face image as input and create the face in thermal ... Because of this, we employed similar architecture to the U-Net. You can see our architecture below.