Image generation using adversarial attacks for imbalanced datasets
US11960574B2 · kind B2 · utility
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17Claims
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Key dates
| Filing date | Jun 28, 2021 |
| Grant date | Apr 16, 2024 |
| Priority date | — |
| Expiry date | Apr 10, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of balancing a dataset for a machine learning model includes identifying confusing classes of few-shot classes for a machine learning model during validation. One of the confusing classes and an image from one of the few-shot classes are selected. An image perturbation is computed such that the selected image is classified as the selected confusing class. The selected image is modified with the computed perturbation. The modified selected image is added to a batch for training the machine learning model.
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