Now, this technology can tackle similar tasks that involve images, including sketches, posters, diagrams and graphs. On Wednesday, the company unveiled two new versions of its reasoning technology ...

In the training stage, masked autoencoder is used as the generator to reconstruct the image, and a discriminator with the reconstructed image and the original image as input is added at the end ...

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 ...

In modern manufacturing, image anomaly detection (IAD) is always performed at the end of the manufacturing process and tries to identify product defects. The price of a product is significantly af ...

To derive the final list of crossings, the start time of the first positive detection and the end time of the last ... features from the input image by training with the ground truth labels for each ...

Abstract: Hyperspectral anomaly target detection ... propose a novel end-to-end local invariant autoencoding density estimation (E2E-LIADE) model. To satisfy the assumption on the manifold, the ...

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 ...