18476622. SYSTEM AND METHOD WITH DIFFUSION-BASED OUTLIER SYNTHESIS FOR ANOMALY DETECTION (Robert Bosch GmbH)
SYSTEM AND METHOD WITH DIFFUSION-BASED OUTLIER SYNTHESIS FOR ANOMALY DETECTION
Organization Name
Inventor(s)
Clement Fung of Pittsburgh PA US
SYSTEM AND METHOD WITH DIFFUSION-BASED OUTLIER SYNTHESIS FOR ANOMALY DETECTION
This abstract first appeared for US patent application 18476622 titled 'SYSTEM AND METHOD WITH DIFFUSION-BASED OUTLIER SYNTHESIS FOR ANOMALY DETECTION
Original Abstract Submitted
A computer-implemented system and method relate to anomaly detection. A first source image is obtained from a first image set and a second source image is obtained from a second image set of an in-distribution image dataset. A diffusion model generates a modified image using the first source image and the second source image. A non-anomalous label is automatically generated for the first source image. The non-anomalous label is also generated for the second source image. An anomalous label is generated for the modified image. A training dataset is created. The training dataset includes at least the first source image with the non-anomalous label, the second source image with the non-anomalous label, and the modified image with the anomalous label. A machine learning model is trained or fine-tuned using the training dataset. The machine learning model being configured to perform a task of anomaly detection.