US Patent Issued to Siemens on May 26 for "Incremental learning for anomaly detection and localization in images" (California, Florida, Massachusetts Inventors)

ALEXANDRIA, Va., May 26 -- United States Patent no. 12,639,939, issued on May 26, was assigned to Siemens AG (Munich).

"Incremental learning for anomaly detection and localization in images" was invented by Shashanka Venkataramanan (Orlando, Fla.), Rajat Vikram Singh (Santa Clara, Calif.) and Kuan-Chuan Peng (Boston).

According to the abstract* released by the U.S. Patent & Trademark Office: "Anomalies in multiple different scenes or images can be detected and localized in a single training flow of a neural network. In various examples, incremental learning can be applied to a given system or network, such that the system or network can learn the distribution of new scenes in a single training flow. Thus, in some cases, when an anomalous ...