Takes grayscale images and adds realistic colors using a U-Net neural network trained on 118,000 photos. Works on portraits, landscapes, objects - pretty much anything. L = lightness (your grayscale ...

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.

In the last decade, auxiliary information has been widely used to address data sparsity. Due to the advantages of feature extraction and the no-label requirement, autoencoder-based methods addressing ...

Abstract: Hyperspectral image anomaly detection faces the challenge of difficulty in annotating anomalous targets. Autoencoder(AE)-based methods are widely used due to their excellent image ...

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...