Region of interest weighted anomaly detection
Abstract:
Anomalies are detected by generating a reconstructed dataset from an original dataset by using a generative model, calculating a differential dataset between the original dataset and the reconstructed dataset as a differential dataset, determining at least one of a region of interest of the original dataset and a region of interest of the reconstructed dataset, weighting the differential dataset by using the determined region of interest, and detecting an anomaly by using the weighted differential dataset.
Information query
Patent Agency Ranking
0/0