Method and apparatus for training neural network models to increase performance of the neural network models
US12340569B2 · kind B2 · utility
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17Claims
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Key dates
| Filing date | Mar 16, 2022 |
| Grant date | Jun 24, 2025 |
| Priority date | — |
| Expiry date | Oct 5, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are a method and apparatus for training a neural network model to increase performance of the neural network model, the method including receiving input data and target data, pooling, by a neural network model, on a feature map extracted from the input data based on a probability for each of classes of the feature map, generating output data by inputting the input data to a neural network model, determining a loss based on comparing the output data and the target data and an auxiliary loss of the pooling, and training the neural network model based on the loss.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.