Method, device, and storage medium for targeted adversarial discriminative domain adaptation
US12148194B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 14, 2021 |
| Grant date | Nov 19, 2024 |
| Priority date | — |
| Expiry date | Jan 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present disclosure provide a method, a device, and a storage medium for targeted adversarial discriminative domain adaptation (T-ADDA). The method includes pre-training a source model including a source feature encoder and a source classifier, adapting a target feature encoder, and generating a target model by concatenating the adapted target feature encoder with the pre-trained source classifier. Adapting the target feature encoder includes configuring the pre-trained source feature encoder to be an initial target feature encoder for generating target feature vectors in each target class; adjusting a domain discriminator according to an adversarial domain discrimination loss; adjusting the initial target feature encoder according to a generative adversarial network (GAN) loss; and further adjusting the initial target feature encoder to generate the target feature encoder according to a feature class matching loss using labeled target feature vectors and corresponding source feature class centers.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.