Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

We consider a direct visual servoing (DVS) from whole images. We propose a new framework to perform VS in the latent space learned by a convolutional autoencoder. We show that this latent space avoids ...

Contribute to shaurink98/Visual-Search-Variational-Autoencoder-Exploring-Artistic-Similarity development by creating an account on GitHub.

In this research paper, we propose a loop closure detection method based on a variational autoencoder to solve the loop closure detection problem in visual SLAM. The method uses intermediate layer ...

If you’ve read about unsupervised learning techniques before, you may have come across the term “autoencoder”. Autoencoders are one of the primary ways that unsupervised learning models are developed.

The demo program presented in this article uses image data, but the autoencoder anomaly detection technique can work with any type of data. The demo begins by creating a Dataset object that stores the ...