Systems and methods for training object detection models using adversarial examples
US11686848B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 31, 2020 |
| Grant date | Jun 27, 2023 |
| Priority date | — |
| Expiry date | Jun 20, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for training object detection models using adversarial examples are provided. A method includes obtaining a training scene and identifying a target object within the training scene. The method includes obtaining an adversarial object and generating a modified training scene based on the adversarial object, the target object, and the training scene. The modified training scene includes the training scene modified to include the adversarial object placed on the target object. The modified training scene is input to a machine-learned model configured to detect the training object. A detection score is determined based on whether the training object is detected, and the machine-learned model and the parameters of the adversarial object are trained based on the detection output. The machine-learned model is trained to maximize the detection output. The parameters of the adversarial object are trained to minimize the detection output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.